Data Scientist Machine Learning

Tejinder Bimbraw E-mail: ********.*******@*****.***

CONSULTANT/DATA SCIENTIST/PRE SALES/MARKET RESEARCH Contact: 404-***-****

Website: tejinder-bimbraw

Address – Atlanta GA

LinekdIn: Tejinder Kaur Bimbraw LinkedIn

Analytics leader with 10+ years of experience in Machine learning models, BI dashboards and data warehouse management. Experienced in cross functional collaboration and project delivery with C-Suite executives to understand core strategy and support the goals of the organization. Exceptional problem-solving skills and unique approach to leverage best practices across all areas of business.

Ascend LLC (July 2022 – September 2024) Data Analytics Manager

Design, wireframe and develop BI dashboards for high stakes analysis involving KPIs across all business divisions by working with C-Suite users and engaging them to adopt the high-end analytical solutions across different platforms – Tableau, Power BI, TESSER. These dashboards track 500+ assets and allowed real time decision and planning for more than $200k weekly revenue.

Customer Service dashboard for measurement of performance across OTR and Dedicated business divisions allowing the division managers the first line view of reasons of service miss for clients reporting less than 90% satisfaction score.

Owned the driver bonus payout process with close to $120k annual payout across all business divisions based on complex payout framework.

Client/Vendor management and ensuring SLAs with the technical team for projects more than $200k to ensure compliance with scope, quality, schedule, and budget (Tableau, TESSER, Snowflake).

Pilot projects like ML projects for predicting driver churn, Customer value and Revenue drivers using Regression and classification modeling in Python.

Restructured the Snowflake DW by business functions allowing:

SQL Conversion and stabilization of data pipelines reducing 17.5 hrs of system process time per day (LEAN)

Implementation of Data Security protocols (Governance model) and QA processes

Automation for integrating processes with services and tools other than the native ERP system (Ex- SAP Concur, Blackline, Workhound, LUMA etc.)

WNS,Inc. (July 2016 – January 2017) Manager

Onsite manager with a team of 4 project members based in India for reputed beverage client, responsible for client interactions and business delivery and growth.

Work with the marketing analytics team for brand performance and tracking.

Creating marketing strategies and estimating opportunities for new product launches for business growth.

Conducting hypothesis testing and What-If Analysis, 80/20 Modeling, A/B Testing using Brand perception, Brand Image and Neilsen Market research data for effective GTM approach.

Campaign performance analysis using Brand Track, revenue and RFM, Nielsen and shipment data

Managing the stakeholders and guiding the offshore team on project understanding and scope of analysis. Focus on high end polished deliverables for presentation to the Marketing Team

DELL International Services, Bangalore (May 2012–Sep’ 2015) Senior Advisor

Analytics leader with Enterprise modeling and innovation team of 10 and 4 people delivering projects across all LoBs (10+) for estimating CLTV (Customer lifetime value) using ML techniques used for B2B strategy creation for sales teams, marketing planning and resource optimization.

Churn modeling, Propensity models, Next Logical Purchase, Revenue Prediction using Random Forest, Integrated Demand Models using Time series, Uplift Models for B2B segment of North America and LATAM business.

Targeting activities/plays using propensity modeling and data mining techniques (Logistic Regression/ CHAID) created an uplift of $14M of margin in just three quarters of implementation. Automation of EDA of these models in SAS saving more than 300 hours per quarterly cycle for the entire team.

The Media Mix Models are a unique application and tool creation of Time Series analysis involving Exogenous variables of promotion, seasonality etc. (ARIMAX models) deployed in APAC region for sales performance monitoring.

Sampling techniques to create a robust test-control group for measurement of return on investment of promotion/targeting activities.

Leading large teams with resources from different backgrounds on BI and statistical projects. SLA management and driving collaboration within the team.

Tata Consultancy Services Ltd., Bangalore, India (Dec2009–April 2012) Team Leader

Lead a team of statisticians within the Pre-Sales KPO services, working on different POCs for domains like Telecom, Banking and Finance, Capital Markets, Retail, Pharmaceuticals etc. Performed analysis on various conceptual algorithms for fraud detection in Capital markets and Text mining of unstructured data for Securities and Exchange Board of India.

Sales Forecasting using ARIMA/ARIMAX algorithms, Predicting Customer Churn and Usage Gap analysis, Front Running Fraud using CHAID to identify suspects involved in stock market frauds, Clustered Trading Fraud where the suspects work in a group and the trading is executed in a sequential manner within the group are identified using circle detection algorithms. The score for the suspect is generated using Logistic Regression, Text Mining for Concept and entity extraction, Sentiment analysis and web-crawling the text data to provide relative evidence in fraud analytics.

Genpact India Pvt. Ltd., Bangalore. (July2007–Nov2009) Assistant Manager

Forecasting and Targeting analysis deliverables for GSK. Performed data extraction, manipulation and analysis using tools like Microstrategy, SAS etc.

Worked with gMACS (Global Marketing Analysis and Commercial Support) group, delivering high quality standard and ad-hoc deliverables in the required formats using data extraction, manipulation and analysis using tools like Microstrategy, SAS etc related to Pharma Forecasting across the Life Sciences Vertical.

TECHNICAL SKILLSET

Machine learning – Python (Scikit Learn, Numpy,Pandas, Matplotlib, beautifulsoup, llama3.2, gradio)

Cloud Application deployment - HuggingFace, Streamlit

SQL – MySQL, Snowflake, Oracle TERADATA

Statistical Software - SAS and Statistica

Tableau and Power BI

Data Orchestration Platforms like DBT, FiveTran, Datalakehouse.io

Project Management and Wireframing – ASANA, FIGMA

MS Office tools – Word, Excel, PowerPoint, Power Automate

Knowledge Management tools – Confluence, GitHub wiki, SharePoint, Dropbox

AWARDS & ACHIEVEMENTS

Franz Edelman laureate for the class of 2013 as a finalist entry from DELL analytics team. Co-Authored a white paper for the same entry which is published in INFORMS. The paper is named “Dell’s Channel Transformation: Leveraging Operations Research to Unleash Potential Across the Value Chain”.

Bronze Award and Silver Award in Dell Inc. Winner of SAS to Statistica migration competition – awarded Inspiring Leaders Award–FY16Q1

Received On the Spot Award in TCS Ltd. for being inspiring role model to colleagues and the team members.

Recipient of two Silver Spirit Awards, Award of Appreciation and a Gold Spirit Award in Genpact from partners.

SQL and Advanced SQL certified

EDUCATIONAL CREDENTIALS

M Sc. in Statistics – 2005 to 2007, Punjabi University Patiala - India.

B Sc. in Statistics, Mathematics and Computer Science – 2002 to 2005, Punjabi University Patiala – India.

COLLABORATIVE PROJECTS

Deployed a Streamlit App on cloud for predicting student performance based on factors like scores in past, family demographics, additional factors like usage of alcohol, phone, going out on weekends etc. using Machine Learning techniques like Support Vector Machines, Random Forests

Created an AI chatbot which can generate customized LinkedIn posts based on either an automatic prompt selection or customized requirements from the chatbot interface. Deployed Llama 3.2 LLM model on HuggingFace and prototyped it in Gradio.

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