Hi, I'm Priya Adlakha

Passionate about Products, always curious, and enjoy connecting with people.

Priya Adlakha

About Me

My Journey

I started my career straight out of college as a Research Associate with a degree in Economics. After a year, I realized research wasn't the right fit for me, so I began exploring different fields and courses, from finance to marketing, trying to find my true passion. During this exploration, I discovered Product Management and immediately knew it was the direction I wanted to pursue.

I began in a UAT role to gain hands-on experience and understand how product teams operate. Within a year, I moved into an Associate Product Manager position and eventually took on the role of Product Manager, managing one team and later expanding to two teams, driving strategy, execution, and collaboration. Recognizing that the world of product and technology is constantly evolving, I enrolled in the MS-BAIM program at Purdue University to strengthen my technical skills and enhance my ability to build impactful, data-driven products.

My Philosophy

My philosophy is simple: if something scares you, jump in. Growth happens when you face challenges head-on, learn along the way, and embrace uncertainty. I believe action and curiosity are the best teachers.

When I Am Not Working

I try one new dish every week and keep iterating until I finally crack the code of a recipe that feels just right. Also, I love learning about how different yarns intertwine to form innovative textile products.

Priya Adlakha

Education

Purdue University

MS, Business Analytics
Indiana, United States, Aug '25 - May '26

Guru Gobind Singh Indraprastha University

MA, Economics
Delhi, India, Jul '16 - Sept '18

Gargi College, University of Delhi

BA-Honors in Economics
Delhi, India, June '13 - June '16

Honors & Achievements

Purdue University, 2025โ€“26

5th Place โ€“ Bankruptcy Prediction Challenge
Topped internal Kaggle-style competition focused on financial risk classification using machine learning.

S&P Global Market Intelligence, 2020

Extra Mile Award
Received for Lean & Robotic Process Automation initiative.

Professional Certifications

  • Tableau Data Analyst/Specialist Desktop
  • Certified SAFe 5 Product Owner/Manager
  • Certified SAFe 5 Practitioner
  • Advanced SQL for Data Scientist
  • Enterprise Design Thinking Practitioner
  • AWS Cloud Practitioner

My Skills

Technologies and competencies I work with

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Python

Pandas, NumPy for data manipulation and analysis

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SQL

Database querying and data extraction

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Data Visualization

Tableau, Power BI, Excel for insights and reporting

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Data Analysis

Statistical analysis and insights generation

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A/B Testing

Experimentation and hypothesis validation

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Machine Learning

Predictive modeling and data science techniques

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Product Tools

Azure DevOps, Productboard, Miro, Databases

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Cross-Team Collaboration

Stakeholder management and communication

My Projects

Bankruptcy Prediction

Bankruptcy Prediction

This project predicts company bankruptcy using financial and operational data. Applying data mining principles and ensemble ML techniques, it achieved a high AUC score in a Kaggle competition, securing 5th place among global participants.

Python Machine Learning Data Mining Ensemble Methods
View on GitHub
Venture Capital

Venture Capital Market Intelligence

Analyzes startups to identify acquisition candidates using funding, revenue, growth, and valuation metrics. Includes EDA, visualizations, and ranking to provide actionable insights for venture capital investment decisions.

Python Data Analysis EDA Business Intelligence
View on GitHub
Twitter Analysis

Twitter Analysis Project

Analyzes Twitter data to extract insights on user behavior, trending topics, and sentiment patterns. Using data cleaning, EDA, and visualizations to identify key trends, engagement metrics, and sentiment trends for social media strategy.

Python Sentiment Analysis Social Media Analytics Visualization
View on GitHub
Wine Analysis

Semantic Analysis on Wine Data

Performs semantic analysis on wine reviews and descriptions, using MongoDB for data storage and NLP techniques like tokenization, word embeddings, and clustering to uncover patterns in flavor profiles and consumer perceptions.

NLP MongoDB Clustering Text Analysis
View on GitHub
Netflix Analysis

Netflix Data Analysis

Performs a detailed analysis of Netflix's content data, exploring trends in movies and TV shows, release patterns, content types, genres, and regional distributions to uncover insights about Netflix's catalogue and viewing trends.

Python Data Analysis Visualization EDA
View on GitHub
View All Projects on GitHub

Get In Touch

Feel free to reach out for collaborations or just a friendly hello! I'm currently looking for new opportunities to work on exciting projects. Whether you have a question or just want to say hi, I'll try my best to get back to you!