Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
Generic
Sydney Lewis

Sydney Lewis

Bangalore

Summary

Data science leader with expertise in data analytics, machine learning, and artificial intelligence.

Proven track record in designing and delivering complex technology solutions, with in-depth knowledge of technology architectures.

Exceptional communication skills to interface with stakeholders and gathering business requirements.

Overview

22
22
years of professional experience

Work History

Head of Analytics

Waycool
Bangalore
09.2021 - 11.2022
  • Developed forecasts of fresh fruits and vegetables to reduce wastage and cost by 17% using outlier detection, smoothing, and forecasting methods
  • Applied time series forecasting in various areas such as price forecasting and yield forecasting, improving accuracy by 45%
  • Conducted brand analytics to detect affinity and basket suggestions, increasing them by 23% using various basket analysis methods such as the apriori algorithm and association rule mining
  • Optimized routes for vehicles and salesmen beat planning, reducing delivery logistics costs by $3M using a framework to solve the vehicle packing problem and Capacitated Vehicle Routing Problem
  • Developed models for commodity trading with a prediction accuracy of 85%
  • Conducted fraud analytics, reducing fraud by 37%
  • Completed 77 Proof of Concepts to illustrate possibilities to business teams within 6 months.

Head of Data Science and Products

Curiosearch
Bangalore
01.2021 - 08.2021
  • Built prediction models in the field of apparel/fashion with a prediction accuracy of greater than 85%
  • Designed models to develop tags for apparel (western wear, ethnic wear, footwear, jewelry, watches, handbags, etc.) using deep learning
  • We used Yolo v5 for object detection/classification and neural nets tuned on Resnet-50 for attribute prediction
  • Developed a framework for searching near-alike (not duplicate) images within a catalogue in the apparel/fashion industry
  • This framework has been filed for PCT
  • Worked across the lifecycle of product development, from obtaining image sets to deployment of attribute enrichment APIs, with internal and external teams.

Head of Data Science

SAGIA
Riyadh
04.2019 - 05.2020
  • Designed 5 RFPs (Investor Lead identification and conversion, National Offer Portal, Investor engagement, Investor integrated information hub, global sentiment analysis) and successfully floated them through the government contract process within 3 months – from vendor identification to scripting the RFPs
  • Invited top global vendors to participate and respond with their proposals
  • Defended the budget with various oversight committees from various government organizations
  • Secured a budget of $7 million for these projects for the first year
  • Evaluated the responses and proposed the top vendor to the Governor
  • Executed the programs in coordination with internal stakeholders – IT, DevOps, Marketing, and Operations teams
  • Held periodic meetings with external stakeholders (National Information Center, General Authority of Statistics, Ministry of Data, and various other ministries and entities) to obtain concurrence on data management and governance
  • Drove a central data management strategy across the various organizations on the cloud (within Saudi Arabia) to address data sovereignty concerns
  • Sought and set taxonomy standards to enable information exchange across various government entities
  • Secured one message channel to obtain “single source of truth” across the country for indicative statistics.

Chief People Officer

Opinio
Bangalore
08.2015 - 10.2015
  • Led the HR and Admin functions, which involved recruiting and retaining talent, measuring and improving performance, complying with legal and ethical standards, managing administrative tasks, and running payroll operations
  • Scaled the team from 40 to over 140 members in a month by hiring through vendors who had access to a large pool of qualified candidates for the early-stage startup
  • Diversified the talent pipeline by sourcing candidates from various sources, such as campus placements, referrals, job portals, social media, and networking events
  • Enhanced the company’s employer brand and reputation by using innovative sourcing techniques and showcasing the company’s culture, values, and vision, which helped the company secure two rounds of funding (Seed and Series A)
  • Established and implemented best practices in HR and administration, such as creating employee handbooks, designing performance appraisal systems, conducting employee engagement surveys, organizing training and development programs, and streamlining payroll processes to support the company’s fast growth.

Director

Mindtree
Bangalore
10.2014 - 08.2015
  • Transformed a dysfunctional TA unit into a high-performing one
  • Managed US$ 35 million plus overseas based revenue through global talent acquisition via vendors
  • Selected, empaneled, reviewed, and guided vendors, reducing their number from over 1000 to about 100 in the first phase
  • Cleared pending invoices dating back to 2 years and improved payment processing terms
  • Created and executed partnership strategy and plans, measuring and reporting vendor performance
  • Met hiring goals and contractual obligations in a timely manner
  • Boosted team output from 75 hires per quarter to over 300 hires per quarter with the same internal team size
  • Crafted effective contract terms for India and other global locations.

Program Manager

Yahoo
Bangalore
09.2011 - 11.2013
  • Managed US$ 30 million which was over half of Yahoo’s spend in India through talent acquisition via vendors
  • Created a decision matrix to identify all outsourcing needs of Yahoo in India, including vendor management and hiring of all sub-contractors/temporary staff in India
  • Chose, empaneled, reviewed, and directed vendors, aligning with the goals of various business units and internal stakeholders
  • Set standards for vendors to create/maintain Outsourced Development Centers with the collaboration of IT, DevOps, NetOps, Security, and other teams
  • Conducted audits to ensure compliance, saving over $1.5 million annually by clearing loose ends in contractual terms
  • Cleared pending invoices dating back to 8 years (vendor had given up on payment), restoring partner trust
  • Negotiated internally with the CFO to get an exception of payment cycle of 30 days instead of 90 days
  • This helped us get better rates and more engagement from vendors
  • Expanded from a 265 to a 700+ contingent workforce in a year, across a wide range of vendors, from contract staffing vendors to the largest IT majors such as Infosys, HCL and TCS
  • Built a 326-seat ODC at HCL in 3 months, followed by a 150-seat ODC at TCS and 90-seat ODC at Infosys.

Program Manager II – L3 Support

Dell
Bangalore
02.2009 - 09.2011
  • Led the strategy for the Executive team, identifying and implementing solutions (software tools/processes) to drive business outcomes
  • Developed and launched a breakthrough solution (One touch) for backup and recovery software that enabled remote support, reduced downtime, and improved customer satisfaction
  • Identified key priorities for the year and quarter as part of the executive leadership team, ensuring alignment, collaboration, and accountability across the organization
  • Worked with internal call/chat support teams to drive data analysis to spot hidden trends and upcoming spikes in support tickets.

Lean Coach

Six Sigma Center of Excellence, IBM
Bangalore
05.2008 - 02.2009
  • Coached executives and leaders to improve their performance and skills
  • Conducted workshops and training for management teams and leaders on leadership, communication, teamwork, and problem-solving
  • Worked hands-on with project teams using data-driven approaches and best practices
  • Drove savings of over $2M annually through data analysis on a standout project with the travel team.

Competency Head

IBM
Bangalore
01.2008 - 05.2008
  • Bridged the talent to the requirements for all of Bangalore.

Senior Software Engineer

Fidelity
Bangalore
10.2004 - 01.2008
  • Worked with Fidelity’s global clients to find the best way to automate secure transfers of large and sensitive data files (401K and other contribution files).

Senior Software Engineer

iGate
Bangalore
11.2000 - 10.2004

Development and support on mainframe for a food processing giant (JM Smucker’s)

Education

Master of Science - Data Science

Liverpool John Moores University
01.2024

Professional Certificate in Data Science -

St. Joseph’s College
01.2020

Project Management Professional (PMP) -

Harvard University
03.2010

Six Sigma Black Belt -

Project Management Institute
08.2008

Bachelor of Science - Computer Maintenance

Business Excellence Institute
05.1997

Skills

  • Machine Learning

Supervised Learning: Linear regression, Logistic regression, Linear discriminant analysis, Decision trees, Naive Bayes, K-Nearest Neighbors, Learning vector quantization, Support vector machines

Ensemble Methods: Bagging and random forest, Gradient boosting, AdaBoost, XGBoost, CatBoost, LightGBM

Unsupervised Learning: Clustering, Dimensionality reduction (Principal Component Analysis (PCA), t-SNE), Autoencoders

Deep Learning: Deep neural networks

Computer Vision: ResNet, EfficientNet, VIT, Yolo, Bootstrap Your Own Latent (BYOL), Instance Discrimination (ID)

Time series: SARIMA, Holt winters, Temporal Fusion Transformer (TFT), AutoTS, Prophet, NeuralProphet, Greykite, ensembles

Proof of Concepts: Plotly Dash, Panel, Streamlit

Algorithm Tuning, Time Series, AutoML, responsible AI, real-time analytics

  • Languages and tools

Programming Languages:

Python, VBA, R, Perl, VBScript, PL1, Cobol, Powershell, DOS batch

Development Environments: Eclipse, Jupyter, Visual Studio, Visual Studio Code

Libraries: Matplotlib, SAS, NumPy, SciPy, Pandas, TensorFlow, Pytorch

Office Tools: MS Word, Excel, PowerPoint, Visio

Markup Languages: XML

DevOps: CI/CD, Jenkins, Docker, Kubernetes, Travis CI, Amazon Elastic Container Service (ECS), Google Kubernetes Engine (GKE)

Testing: Selenium, pytest

AutoML Libraries: pycaret, AutoML, AutoTS, Darts, Kats, Prophet, NeuralProphet, Graykite

Ontology Languages: OWL

Text Editors: Notepad, Textpad, Visual Studio Code

Version Control: Git, Github, Gitlab

Databases: SQL, NoSQL

Project Management

Methodologies: Agile, Scrum, Waterfall methodology

Tools: JIRA, Visio, MS Project

Supply Chain Relationships

Industry Classifications: RBICS, ISIC, custom ontology

Workflow Orchestration: JCL, Cron, Apache Airflow

Operating Systems: Mainframe DOS/VSE, Mainframe, MVS, Linux, Windows, macOS

Performance Monitoring and Alerting: Prometheus, Grafana, Nagios, Zabbix, ELK stack

Data Visualization Toolsets: Tableau, Spotfire, Qlik, PowerBI, D3js, ggplot2

  • Big Data

Frameworks: Hadoop (HDFS, Yarn, MapReduce), Spark, Flink

Data Processing: Hive, Pig

Streaming: Kafka, Storm

  • GIS

Software:

ArcGIS, QGIS

Servers: GIS Server, Geo-event Server, Geo-Analytics server, Image server

  • Data Storage

Structured Data: RDBMS (MySQL, Postgres), Data warehouses

Unstructured Data: NoSQL (Cassandra, MongoDB, Redis, CosmoDB)

Cloud Storage: Microsoft Azure (blob storage, Data Lake), Amazon S3 bucket

File Storage: Local or network file shares

File Formats: Parquet, ORC, Delimited files (such as csv, tsv, and txt)

  • Data Management

Ingestion: Data ingestion and pipeline

ETL: Informatica, DataStage, Ab Initio, ETL process

Data Modelling: Database design (SQL), Normal forms, Table design and indexing

Data Wrangling: Python and R

  • Master Data Management

Data Governance

Data Lake Strategy

Metadata and Data Lineage

Data Compression and Archival

Data Framework and Logical Data Model

Open Data and Content Pipeline

Knowledge Graphs

Ingestion Aggregation and Transformation

Security: Data Encryption in Motion & at Rest

Processing: Batch and stream Processing

Load Balancing and Scripting

  • Quality Control: Data quality (data cleaning and validation), Data integration (data fusion and data blending), Data profiling (data discovery and data mining)
  • Geospatial Analysis

Standard Analysis: Standard Geospatial & Demographic Analysis, Population & People Analysis, On Demand Spending Analysis

Segmentation: Tapestry & Population Segmentation

  • Distributed Systems

Distributed virtual machine architecture

Storage Pool

Distributed file systems (DFS)

Distributed databases

  • Market Research Data

Purchasing Power data

Human Mobility Data

Worldwide purchasing power for potential investors to explore export markets

Market Research data

Consumer behavior data

Market segmentation data

  • Security & Compliance

Regulations: Sarbanes Oxley, HIPAA, FFIEC, GDPR

Protocols: OAuth, SFTP, SSH, FTP-PGP

  • Communication Skills

Stakeholder Management: Exceptional communication skills to interface with stakeholders, conducting interviews and gathering business requirements

Active listening skills

Presentation skills

  • Analytical Skills

Problem Solving: Expert level analytical skills for problem solving

Statistical analysis skills

Critical thinking skills

  • Report Writing & Technical Documentation

Business report writing: Demonstrated evidence of business report writing and technical documentation

Technical writing skills

Documentation management skills

Additional Information

  • SAGIA – Set up the Center of Excellence for Data Science to realize Saudi Arabia’s ambitions in attracting foreign investment spanning across investor journey; from investor lead identification/national offer portals to global sentiment analysis.
  • Mindtree – Vendor rationalization and consolidation – 1000+ vendors; significant contribution to total hiring (15% hiring done with 5% personnel); portfolio amounting to 6% of total company revenue.
  • Yahoo! – Recurrent annual savings of over $1.5 million; comprising 700+ contractors and 40 vendors; ensured partner satisfaction by streamlining Invoice processing time from 39 days to 4 days; built Offshore Development Centers (ODC) in a turnkey fashion at partner premises
  • IBM – Exceeded $1 million annual savings target to achieve over $4 million in annual savings as a Lean coach.
  • Fidelity – Received President’s Kaizen award for process improvements leading to recurrent savings.
  • iGate – Excel automation to bring down the time taken for tasks from 40 hours to an instant.

Timeline

Head of Analytics

Waycool
09.2021 - 11.2022

Head of Data Science and Products

Curiosearch
01.2021 - 08.2021

Head of Data Science

SAGIA
04.2019 - 05.2020

Chief People Officer

Opinio
08.2015 - 10.2015

Director

Mindtree
10.2014 - 08.2015

Program Manager

Yahoo
09.2011 - 11.2013

Program Manager II – L3 Support

Dell
02.2009 - 09.2011

Lean Coach

Six Sigma Center of Excellence, IBM
05.2008 - 02.2009

Competency Head

IBM
01.2008 - 05.2008

Senior Software Engineer

Fidelity
10.2004 - 01.2008

Senior Software Engineer

iGate
11.2000 - 10.2004

Master of Science - Data Science

Liverpool John Moores University

Professional Certificate in Data Science -

St. Joseph’s College

Project Management Professional (PMP) -

Harvard University

Six Sigma Black Belt -

Project Management Institute

Bachelor of Science - Computer Maintenance

Business Excellence Institute
Sydney Lewis