CV

Professional Summary

Hi again! I am an experienced data analyst with over 1.5 years of working with roles in data and business analytics. Along with this, I also created a healthcare startup in my Undergrad during Covid-19; giving an additional 2 years of experience that made me the data nerd I am today.

With domain knowledge in the IT, marketing, and healthcare industry I have been able to deliver results every single time. Along with my technical expertise in Python, SQL, and machine learning, I’m passionate about leading and inspiring teams. Having led over 87 teams since my undergraduate days and triumphed in national analytics competitions.

Beyond my technical work, I am a passionate musician and former band member. I led the college vehicle buggies SAE business team across India and honed my analytical thinking and public speaking skills through active participation in debates during my academic years. I currently serve as the president of the Masters in Business Analytics program at Purdue University.

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Skills

Languages

Python SQL R

Tools and Technologies

Machine Learning LLM's Data Mining Deep Learning Git Scikit-learn MS Office GCP @Risk Minitab SAS EM Minitab Tableau Tensorflow SAS EM Minitab Google Analytics Google Ads Meta Ads

Other Fundamentals

A/B Testing Business Intelligence Project Management Digital Advertising & Analytics Product Development Pricing Strategies Database Development Spreadsheet Modeling Consumer Behavior

Work Experience

November 2023 - August 2024

Accenture - Data Analyst Lead (via Krenecki Centre, Purdue)

Led a team of 7 through strong communication in identifying problem areas across 800+ processes in SAP Signavio. Examined large process-level data to mine business-oriented insights and translate them for non-technical stakeholders.
Built Python and SQL-based ETL pipelines to discover process blockers and risks for generating descriptive reports. Significantly reduced manual analysis from 4 hours to under 2 minutes to meet Accenture's clients' KPIs efficiently.

January 2024 - May 2024

FAANG Company - Data Analyst Intern (Capstone Course)

Analyzed hundreds of SEC 10-K filings to translate complex financial data into investor-friendly information, enhancing accessibility for diverse experience levels. Communicated insights to head of AI services via reporting and visualizations.
Developed and deployed a Gen AI chatbot with GCP on top of the 10-K documents. Displayed 60% higher accuracy than the base Text Bison 32k model, potentially saving 13,300 man-hours annually and improving decision-making efficiency.

September 2022 - April 2023

Capgemini - Senior Analyst

Reviewed large datasets extensively using SQL for trends to inform the development of AI chatbots. Dramatically revamped customer support and attained a 36.4% increase in customer satisfaction while cutting down manpower dependency.
Engineered dashboard automation adopting Python and APIs, enabling data-driven decision-making for over 10 international stakeholders. Tested pipelines through sophisticated data analysis and communicated with storytelling through Tableau.

January 2022 - May 2022

Sailotech - Data Analyst Intern

Utilized Python algorithms and employed NLP for custom entity extraction, contributing to the delivery of the ‘iCapture OCR software’ 5 weeks ahead of schedule. Leveraged SQL for querying and to create a database from extracted entities.
Extracted KPIs and manipulated warranty data from Sailotech's client. Through experimentations constructed statistical models and classification algorithms to predict fraudulent claims, achieving over 96% accuracy.

January 2020 - January 2022

Save The Young Heart - Founder and Marketing Analyst

Spearheaded a 9-person team, including doctors, for an online healthcare initiative with a budget of $8,500+. Received 31,000 unique website visitors and 44,000 session hits, reaching over 800,000 people via Google and Facebook Ads.
Used SQL and Tableau to create data visualizations from website data sources identifying profitable advertising channels.
Rolled out an 'Interheart Risk Score' Python model based on classification algorithms to recognize major combinations of factors of heart disease. In turn, drove thousands of high-risk patients for further investigation on the platform.
Decreased email Cost-Per-Clicks through A/B tests from $2.58 to $0.29, boosting company-wide revenue by over 104%.