Shyam Vijayan
Summary
Accomplished Data Enthusiast with over a decade of experience delivering data-driven solutions across diverse industries. Proficient in designing and implementing scalable data architectures, developing advanced machine learning models, and optimizing data pipelines to extract actionable insights from complex datasets. Skilled in leveraging big data technologies such as Hadoop, Spark, and cloud platforms like AWS and GCP to enhance data processing capabilities. Demonstrated leadership in managing cross-functional teams, mentoring junior data professionals, and driving strategic initiatives that align with business objectives. Committed to continuous learning and staying abreast of emerging trends in AI and data engineering.
Overview
12
12
years of professional experience
2018
2018
years of post-secondary education
2
2
Certifications
4
4
Languages
Work History
LEAD ANALYST (AI & ML)
RADIAL TECHNOLOGIES
12.2021 - Current
- Leading the Data and Analytics Migration to cloud : working on moving the on prem data workflows to cloud
- Built and orchestrated the whole migration to snowflake architecture which comprises of many tools to accomadate the migration of various modules smoothly which comprises of forecasting models and warehouse management systems.Tools used Python, Airflow , AWS , GCP , lambda, sns , Athena ,Big query, Glue, Snowflake,llm models)
- Working and Guiding Team on building a Fraud Insights model : working on building a pre auth model to Find the fraudulent transactions by giving scores for each transactions and also actions to take like auto cancelling,auto approval etc to help analysts do their job easier .Tools used are (Python,PowerBI,Excel) .Algorithms used (Xgboost,LightGBM ,Logistic Regression and Random Forest,MLflow)
- Worked on a Model based Anomaly detection captured suspicious orders Applied unsupervised machine learning models for anomaly detection, automating daily reports that identified and flagged over 90% of suspicious orders, reducing manual review time by 30%.
- Worked on Pattern recognition and segregating risky orders : Created a trend detection model to capture risky order patterns, generating weekly reports that improved rule creation efficiency by 50% and enhanced automated decision-making.
- Interactive dashboard for internal team Built an interactive dashboard to display the summary report of velocity calculation for internal team to access the reports quicker. Tools used (python,streamlit)
ANALYTICS LEAD
PRODAPT TECHNOLOGIES
12.2020 - 12.2021
- Worked and Lead a Network Fault Prediction and Chatbot Project: Analyzing and Predicting,faults in the network devices at various levels using tools (R,Python,PowerBI,Excel)and Forecasting Techniques(TimeSeries,Machine Learning,Neural Network) for different Modules and equipments.
- Chatbot Tool:Building and deploying a chatbot for a client for their interal requirements using various Machine learning techniques and ML models tools used(RASA,python,docker)
ANALYTICS CONSULTANT
CAPGEMINI TECHNOLOGIES
10.2019 - 11.2020
- Lead an FMCG (Unilever) Demand forecasting and innovation forecasting Project: Analyzing and forecasting demand plan, promotion plan for certain categories using tools (R,Python,PowerBI,Excel)and Forecasting Techniques(TimeSeries,Machine Learning,Neural Network) for different regions and countries.
- Forecast Tool:Building an end to end Forecasting Tool using various Machine learning techniques and ML models which al gives visualization and insights based on which decisions can be made ,Tools used :R,Python(framework Dash and Pandas)
- Working on showcasing Analytics capabilities and the impact which can be obtained by using analytics in the field of supply chain.
ANALYTICS CONSULTANT
THOUCENTRIC TECHNOLOGY LTD
04.2018 - 09.2019
- Worked on an FMCG (Unilever) Demand forecasting: Analyzing and forecasting the demand plan, promotion plan for certain categories using tools and Forecasting Techniques for different regions and countries
- Process in a glance: Understanding the business requirements Data preparation Building base models. Use various algorithms and techniques to find the best combination for an ideal forecast Developing the models to increase the accuracy Building a sequential routine to parallel run (testing period). Deploying the model and automating the forecasts.
- Tools used R, Python, Power BI, Excel Algorithms Random Forest, XGB, Regression Techniques, KNN,SVM,SVR,K means, ANN,LSTM & SHAP for forecast explanation.
- S&OP Analytical Project-Built a S&OP reporting Dashboard for Review Meeting as a POC Based on Rule based Segmentation based on Decision Tree (CART).
- Building a simulator- using based on Correlation and Regression Analysis and Finding out the impact of cannibalization and promo effect on Various SKU's done using R, Power BI, Excel For an FMCG client.
- Production Planning Tool -Building a customized heuristics and ML/AI based tool based on the Master Production Sheet(MPS) to calculate the Production plan and allocate it various production plants based on various factory and capacity constraints and automate the whole process which included how to handle various scenarios like BOM/DRP etc.
- Customer Segmentation- Did a Cluster and Quadrant analysis for Beverage Industry based on various factors using CART Analysis, Random Forest and other regression Techniques.
ANALYST
NORTHERN HYDROPONICS LTD(NZ)
04.2016 - 03.2017
- Worked in Google analytics to generate reports of site traffic and sales
- Perform Search Engine Optimization, create ad campaigns using Google AdWords .Collating and analyzing reports from inventory systems and CRM’s week on week
- Providing Insights using Power BI and providing solutions in demand forecasting
SOFTWARE ENGINEER
Ebuilders
02.2013 - 09.2014
- Worked in MVC framework and SQL for handling databases
- Managing for data extraction and report generation
- Analysis of sales data from CRM using R and Excel
Education
PGPBA -
Praxis Business School
GDIC - undefined
Unitec Institute of technology
BE - undefined
SSIET
XII - undefined
SBOA school and Jr college
Skills
R
Certification
2016, Agile certified Professional, ICagile
Core Knowledge And Skills
R, Python, Hadoop, Spark, PySpark, AWS, GCP (Big Query), Power BI, AIRFLOW, Inferential analysis, Descriptive analysis, Data Preparation, Data Exploration, Clustering, Linear Regression, Logistic Regression, Decision Tree, Ensemble Methods, Neural Nets, GAN, LLM, AGENTIC AI, RAG
Interests
Playing Table Tennis
Swimming
Books
Movies
Travel
Timeline
LEAD ANALYST (AI & ML)
RADIAL TECHNOLOGIES
12.2021 - Current
ANALYTICS LEAD
PRODAPT TECHNOLOGIES
12.2020 - 12.2021
ANALYTICS CONSULTANT
CAPGEMINI TECHNOLOGIES
10.2019 - 11.2020
ANALYTICS CONSULTANT
THOUCENTRIC TECHNOLOGY LTD
04.2018 - 09.2019
ANALYST
NORTHERN HYDROPONICS LTD(NZ)
04.2016 - 03.2017
SOFTWARE ENGINEER
Ebuilders
02.2013 - 09.2014
GDIC - undefined
Unitec Institute of technology
BE - undefined
SSIET
XII - undefined
SBOA school and Jr college
PGPBA -
Praxis Business School
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