Summary
Overview
Work History
Education
Skills
Websites
Languages
Timeline
Generic

AMIT JENA

Gurgaon

Summary

Dynamic Business Analyst with proven expertise at National Entrepreneurship Network, leveraging Python and advanced analytics to drive a 20% increase in marketing ROI. Adept at collaborating cross-functionally and optimizing business processes, I excel in delivering actionable insights that enhance customer engagement and mitigate risks. Passionate about data-driven decision-making and innovative solutions.

Overview

5
5
years of professional experience

Work History

Business Analyst

National Entrepreneurship Network
New Delhi
01.2023 - Current
  • Conducted interviews with key business users to collect information on business processes and user requirements.
  • Applied honed problem-solving skills to analyze and resolve issues impacting business operations and goal achievement.
  • Analyzed open orders, backlog, and sales data to provide sales team with insights.
  • Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
  • Collaborated with Ministry of Health and Family welfare, Govt of India to implement Artificial Intelligence projects in partnership with PGIMER Chandigarh, AIIMS Delhi, AIIMS Rishikesh.
  • Implemented AI Solutions at Centre Of Excellence, Govt of India.
  • Lead team of Business Analysts, Data Scientist and Program to implement solutions at PGIMER Chandigarh.
  • Managed and analyzed hits, visitors, and visits to provide insights into website traffic patterns and user behavior.
  • Implemented advanced user segmentation techniques to tailor marketing strategies based on visitor demographics and preferences using Adobe web analytics.
  • Conducted comprehensive conversion funnel analysis to optimize key touchpoints and enhance the visitor journey, resulting in improved conversion rates.
  • Oversaw multi-channel tracking across mobile, desktop, and social media platforms to ensure a seamless visitor experience across all touchpoints.
  • Developed and maintained customizable dashboards and reports, translating complex data into actionable insights for stakeholders using Adobe report manager.

Product Analyst

National Entrepreneurship Network
New Delhi
01.2024 - 04.2025
  • Product Measurement Alignment Project with GCP and AWS Integration: Developed and implemented customer segmentation models, increasing marketing campaign ROI by 20% through targeted outreach.
  • Conducted behavioral analysis on over 10 million customer transactions, improving personalized product recommendations, and driving a 15% boost in cross-sell revenue.
  • Built predictive models that enhanced customer lifetime value (CLV) estimation accuracy by 30%, leading to a 12% reduction in churn.
  • Spearheaded the design of three credit risk models, reducing loan default rates by 18% while analyzing portfolio risk exposure across more than $5 billion in assets.
  • Led fraud detection initiatives, identifying and preventing over $10 million in fraudulent transactions.
  • Adept at ensuring compliance with Basel III and other regulatory frameworks, contributing to a 40% reduction in regulatory breaches.
  • Passionate about leveraging data-driven insights to optimize customer engagement, mitigate risks, and drive business growth.
  • Collaborated with product teams across Experience Cloud solutions, leveraging cloud solutions such as GCP and AWS, to ensure alignment on product measurement strategies and goals.
  • Utilized cloud-based data storage and processing capabilities to efficiently collect, store, and analyze large volumes of data from diverse sources.
  • Implemented scalable data pipelines on GCP's BigQuery and AWS's S3 to automate data ingestion and transformation processes, enabling real-time monitoring of product performance metrics.
  • Dashboard Development and Analytics Enhancement Using GCP and AWS Services: Led the development of interactive dashboards using visualization tools like Google Data Studio and AWS solutions, leveraging cloud services like GCP and AWS to streamline collaboration and data sharing.
  • Leveraged GCP's Data Studio and AWS's QuickSight to create unified dashboards that provide stakeholders with a comprehensive view of product performance metrics across different solutions.
  • Conducted training sessions and workshops to educate internal teams on cloud-based analytics tools and best practices for leveraging GCP and AWS services to drive data-driven decision-making.
  • Product Measurement Evangelism Campaign with Cloud Solutions Integration: Developed and executed a communication strategy to evangelize product measurement initiatives internally and externally, highlighting the role of cloud solutions, like GCP and AWS, in enabling scalable and efficient data analytics.
  • Created engaging presentations and case studies showcasing the benefits of cloud-based analytics solutions for measuring product performance and driving business growth.
  • Presented at industry events and webinars, emphasizing the advantages of leveraging GCP and AWS for product measurement, and sharing success stories of organizations that have adopted cloud-based analytics solutions.
  • Problem-Solving and Initiative Demonstration with GCP and AWS Solutions: Identified and addressed key challenges in implementing product measurement strategies, leveraging cloud solutions like GCP and AWS to overcome obstacles related to data management, scalability, and performance.
  • Implemented cost-effective solutions on GCP's BigQuery and AWS's Redshift to optimize data storage and processing costs, while ensuring high performance and reliability.
  • Demonstrated a proactive approach to innovation by exploring new features and services offered by GCP and AWS, and proposing innovative solutions to improve data analytics capabilities and drive business outcomes.
  • U.S. Banking Fraud Mitigation for Digital Products (Cards, Deposits, Zelle): Led advanced analytics initiatives to detect and prevent fraudulent activities across the U.S. Banking products, including credit/debit cards, direct deposits, and Zelle transfers. - Developed real-time fraud detection models using Python, GCP BigQuery, and AWS Redshift, reducing false positives by 25%, and improving detection latency by 35%. - Built and deployed supervised and unsupervised learning algorithms to detect anomalous transaction patterns, enhancing early fraud warning systems. - Implemented graph-based fraud ring detection, leveraging transaction link analysis, and uncovering over $5M in fraudulent activity within the first quarter. - Collaborated with compliance and fraud ops teams to ensure alignment with the U.S. Regulatory frameworks like FFIEC, Reg E, and BSA/AML. - Conducted root-cause analyses of fraud events, which informed product redesigns that decreased risk exposure for Zelle P2P transfers by 18%. - Designed dashboards for fraud KPIs and incident tracking in Google Data Studio, enabling real-time visibility for stakeholders. - Initiated feedback loops from fraud case analysts to retrain models, increasing model adaptability and fraud prevention effectiveness.

Marketing Analytics Specialist /Data Analyst

Gartner India Research and Advisory Services Pvt Ltd
Gurgaon
05.2021 - 01.2023
  • Identified and documented detailed business rules and use cases based on requirements analysis.
  • Researched and resolved issues regarding integrity of data flow into databases.
  • Developed tables, views and materialized views using SQL.
  • Designed and implemented tools to support strategic value chain optimization initiatives.
  • Designed fresh executive dashboards using Powerbi/AAS model /SQL related to both verticals.
  • Lead the Marketing and conferences team in migrating dashboards and queries from Oracle Sql (P-SQL) to Microsoft SQL Server (T-SQL).
  • Developed and maintained linkedin web scrapping code for gaining back lost seatholders which was further used by Data Engineering team to get data.
  • By leveraging advanced segmentation and funnel analysis, we identified key drop-off points in the purchase process, enabling us to implement targeted interventions.
  • Additionally, the integration of real-time data streams provided valuable insights into user behavior, allowing for dynamic content personalization.
  • This approach not only improved conversion rates but also enhanced overall user satisfaction and engagement with our platform.
  • The project demonstrated the power of Adobe Analytics in driving data-driven decision-making and delivering tangible business results.
  • Collaborated cross-functionally to integrate Adobe Web Analytics with Adobe Marketing Cloud, delivering comprehensive marketing performance insights.

Business Analyst (Customer Experience)

Cars24 Pvt Ltd
02.2021 - 05.2021
  • Worked with customers to understand needs and provide excellent service.
  • Extracted data using queries to provide insights about customer experience eventually improving overall rating from 3.7 to 4.5.
  • Developed team communications and information for meetings.
  • Participated in continuous improvement by generating suggestions, engaging in problem-solving activities to support teamwork.

Data Analyst Intern

KPMG
12.2020 - 01.2021
  • Assessing data quality and completeness(data Cleaning) for customer demographic and transaction data in preparation for analysis.
  • Identifying high-value customers to optimize resource allocation for targeted marketing based on customer demographics and attributes.
  • Used PowerBi to visualize sales marketing and growth strategy to clients and product managers.
  • Completed 2 business projects.

DATA ANALYST

Aapkapainter
06.2020 - 12.2020
  • Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.
  • Built library of models and reusable knowledge-base assets to produce consistent and streamlined business intelligence results.
  • Transformed project data requirements into project data models.
  • Participated in requirements meetings and data mapping sessions to understand business needs.
  • Corrected any data entry error to prevent later issues such as duplication or data degradation.
  • Coordinated statistical data analysis, design, and information flow.

DATA SCIENTIST INTERN

FLIPROBO TECHNOLOGIES
03.2020 - 11.2020
  • Domain: Banking - Fraud Risk | Tech Stack : Python, Jupyter Notebook, Google Cloud AI Platform | Objective: Building a Insurance Risk fraud detection model for a bank.
  • Solution: Did EDA, treated data imbalance using SMOTE & ADASYN, built 7 models & did Hyper parameter tuning for best performing models in each category.
  • Key Achievements: ADABOOST on SMOTE oversampling having AUC, recall & precision of 0.94, 0.90, 0.99 respectively.
  • Domain: Stock Market | Tech Stack: MySQL | Objective: To generate the data for Loan top up facility provided to customers.
  • Solution: Implemented SQL Queries to define a user defined function which gave Buy/Sell/Hold signal on a given date via 10 days' and 20 days' moving averages.
  • Key Achievement: Successfully predicted behavior of stocks.

Education

POST GRADUATE PROGRAM - DATA SCIENCE

Datatrained
12.2020

Bachelor's of Technology - Electronics And Communications Engineering

DeenBandhu Choturam University Of Science And Tech
Haryana
01.2017

High School Diploma -

Kendriya Vidyalaya
Tatanagar
06.2012

Skills

  • Python
  • Machine learning
  • Scikit-Learn
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • EDA
  • Predictive modelling using Regression
  • Regularization
  • Classification
  • Clustering
  • Decision trees
  • Random forests
  • Ensembles and boosting Algorithms
  • Web scraping using beautifulsoup
  • Selenium
  • Deep learning - Neural Networks
  • CNN
  • Lexical Processing
  • OpenCV
  • Computer Vision
  • NLP
  • MySQL
  • MS Excel
  • Tableau
  • Google Cloud platform
  • AWS
  • Powerbi
  • Business process optimization
  • Business intelligence
  • Business growth strategies
  • Adobe Analytics
  • Adobe report builder
  • Adobe audience Manager
  • Google Analytics
  • Fraud Analytics
  • Mitigation

Languages

  • English
  • Hindi
  • Bengali
  • Oriya

Timeline

Product Analyst

National Entrepreneurship Network
01.2024 - 04.2025

Business Analyst

National Entrepreneurship Network
01.2023 - Current

Marketing Analytics Specialist /Data Analyst

Gartner India Research and Advisory Services Pvt Ltd
05.2021 - 01.2023

Business Analyst (Customer Experience)

Cars24 Pvt Ltd
02.2021 - 05.2021

Data Analyst Intern

KPMG
12.2020 - 01.2021

DATA ANALYST

Aapkapainter
06.2020 - 12.2020

DATA SCIENTIST INTERN

FLIPROBO TECHNOLOGIES
03.2020 - 11.2020

POST GRADUATE PROGRAM - DATA SCIENCE

Datatrained

Bachelor's of Technology - Electronics And Communications Engineering

DeenBandhu Choturam University Of Science And Tech

High School Diploma -

Kendriya Vidyalaya

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