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Abhilash Vemula

@abhilashvemula

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Data Scientist and analytics professional improving decisions with Python, SQL, and BI.

India

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What I'm looking for

I’m looking for a role where I can build reliable data pipelines and analytics—using Python, SQL, and BI dashboards—to improve decision-making. I want to work on modeling, QA/data quality, and stakeholder-ready reporting.

I’m a Data Scientist who blends rigorous data validation with practical analytics—turning messy inputs into decision-ready outputs. With an M.Tech. in Biochemical Engineering from IIT Kharagpur, I learned early how to think systematically about accuracy, consistency, and real-world constraints.

In finance and analytics roles, I reconciled 200K+ transactions, flagged data inconsistencies, and reduced reconciliation discrepancies by catching duplicate and missing ledger entries. I also built stakeholder-ready reconciliation summaries with mismatch counts, affected transaction IDs, and aggregated amount differences.

On the modeling side, I supported production-style monitoring and analytics work—building a Revolve rate model using logistic regression, running Population Stability Index (PSI) analysis, and analyzing customer satisfaction trends using SAS and Excel. At PartEx.AI, I drove QA validation for Python-based web scraping pipelines by checking extracted attributes against source HTML and fixing parsing defects.

Today, I focus on end-to-end data science and analytics projects: 10+ builds across regression, classification, and clustering using Python and Scikit-learn, plus SQL-powered insights and BI dashboards. For example, I developed churn prediction models (~78–80% test accuracy) and a SQL + Power BI sales KPI dashboard using 60K+ transactions, 500 customers, and 50 products.

Experience

Work history, roles, and key accomplishments

Associate

Vivifi India Finance

Aug 2023 - Dec 2023 (4 months)

Reconciled 200K+ financial transactions, identifying data inconsistencies that improved reporting accuracy for finance stakeholders. Detected duplicate and missing ledger entries and prepared mismatch summaries with affected transaction IDs and aggregated amount differences.

Data Validation Data Quality Analysis Data Integrity

Data Scientist

PartEX.AI

Nov 2017 - Mar 2018 (4 months)

Performed QA validation for Python-based web scraping pipelines by verifying extracted faculty attributes against source HTML. Identified parsing defects (missing fields, delimiter noise, structural misalignment) and supported reliable multi-page extraction delivered in Excel/CSV for downstream use.

HTML Parsing Parsing Error Debugging Multi Page Extraction Data Cleaning Data Quality Assurance

Consultant

EXL Service

Aug 2016 - Oct 2017 (1 year 2 months)

Supported development of a credit-card Revolve rate model using logistic regression, including data cleaning, missing value imputation, and variable screening across 800+ candidate features. Conducted PSI model monitoring and analyzed customer satisfaction (RNPS vs TNPS) in SAS/Excel, including customer comment text exploration with word clouds.

Logistic Regression Card Modeling Data Cleaning Imputation Population Stability Index (PSI)SAS

Associate

Cognizant Technology Solutions

Aug 2015 - Aug 2016 (1 year)

Performed case data review and validation to ensure completeness, consistency, and compliance with internal quality standards before reporting. Conducted data quality checks and analysis using Excel (pivot tables, lookups) to support accurate portfolio metrics reporting and operational data flow tracking.

Data Quality Assurance Data Validation Excel Pivot Tables Compliance Review Data Analysis