"Data is the new oil, but refining it into insights is where the real power lies."
I am a Statistician, Data Scientist, Analyst, and AI/ML Engineer with a deep passion for transforming raw data into meaningful stories. With a Master’s in Statistics from Pondicherry University and a Bachelor’s from Hindu College, University of Delhi, I have built a strong foundation in statistical modeling, machine learning, and artificial intelligence. My expertise lies in leveraging Python and SQL to extract insights, optimize decision-making, and build scalable data-driven solutions.
"The goal is to turn data into information, and information into insight."
Throughout my journey, I have developed and deployed AI-driven applications, worked on deep learning models for sentiment analysis, and optimized large-scale databases to enhance business efficiency. My proficiency in data visualization and storytelling allows me to communicate complex insights effectively, ensuring that data not only speaks but also drives impact.
"Without data, you’re just another person with an opinion."
Whether it’s predictive modeling, NLP, or statistical data analysis, I believe in harnessing the power of data to solve real-world problems. With an analytical mindset and a creative approach, I strive to bridge the gap between numbers and narratives, making data-driven decisions more accessible and actionable.
Education
MSc in STATISTICS 👈
Pondicherry University, Pondicherry, India
YEAR OF PASSING : September 2023- April 2025
8.48/10
A place where I deepened my passion for data science and statistical analysis. Pursuing my Master's in Statistics here has provided me with a strong theoretical foundation and hands-on experience in advanced data analytics, artificial intelligence, and deep learning. The university’s research-driven environment and exposure to cutting-edge tools have shaped my ability to solve real-world data challenges.
👉 BSc (H) in STATISTICS
Hindu College, University of Delhi, India
YEAR OF PASSING : July 2023
8.49/10
One of India's most prestigious institutions, Hindu College played a crucial role in building my analytical mindset. My undergraduate journey in Statistics here was filled with rigorous academic training, problem-solving, and a deep dive into the fundamentals of data science. The vibrant intellectual environment and emphasis on research fostered my skills in Python, SQL, and data visualization, laying a strong foundation for my career in analytics.
Higher Secondary Education👈
GHSS Irumbuzhi, Kerala, India
YEAR OF PASSING : July 2020
95.6%
👉High School Education
MMET HS Melmuri, Kerala, India
YEAR OF PASSING : June 2018
10 A+/10 A+
SOME THINGS I'VE WORKED ON
PROJECTS
Analyzed over 29,000 Amazon purchasing records using complex SQL queries to derive key business insights. Implemented PL/pgSQL stored procedures to automate inventory updates, eliminating manual processes. Optimized queries using indexing and CTEs, improving performance by 30% and enhancing data retrieval efficiency.
Developed an AI-powered chatbot leveraging deep learning and NLP to classify user sentiments with 86.3% accuracy. Built using LSTM neural networks in Python, the chatbot processes text inputs and provides real-time sentiment-based responses, improving user interaction and engagement.
Designed a predictive modeling tool for Bangalore’s real estate market using machine learning techniques such as Random Forest and Gradient Boosting. Integrated a Flask-based UI to provide stakeholders with data-driven insights, enabling more informed property investment decisions.
Conducted performance analytics on T20 World Cup 2022 data, scraping and processing over 10,000 data points. Used Python and Power BI to visualize player performance metrics, helping identify top-performing players and optimize Best XI team selection based on statistical insights.
Developed an AI-powered pipeline to analyze 1000+ page multilingual sustainability reports, identifying digitalization needs using GPT-4o-mini with 95%+ accuracy. Automated PDF parsing, OCR, and section-wise text processing with PyMuPDF, Tesseract, and spaCy. Mapped insights to external service portfolios via dynamic web scraping, reducing manual effort by ~80% and enabling scalable ESG analysis.
Built a predictive model to estimate food delivery times using the Zomato Delivery dataset. Applied Random Forest and XGBoost with R² > 0.90. Performed feature engineering and hyperparameter tuning to improve accuracy, helping optimize delivery logistics and customer satisfaction.
Developed an AI-powered tool to generate job-specific, ATS-friendly resumes and cover letters within seconds. Utilized GPT-4o, NLP, and LaTeX automation to tailor content based on job descriptions. Built with Streamlit for a clean, one-click web interface to simplify job application processes.
Building AI-powered applications using LLMs (OpenAI, HuggingFace Transformers), speech-to-text (Whisper, DeepSpeech), and NLP/NLU frameworks, integrated with Flask, REST APIs, and real-time audio interaction systems.
Developing and deploying ML pipelines with Python, scikit-learn, TensorFlow, PyTorch, including data preprocessing, feature engineering, model training, evaluation (AUC, SHAP), and optimization for scalability.
Working on full-stack deployment with HTML/CSS/JS, Flask servers, API integration, and applying MLOps practices, version control (Git/GitHub), and cloud readiness for production-grade AI tools.
Data Analyst Intern
Nevar Systems
April 2025 - June 2025
Contributed to data-driven decision-making by supporting statistical modeling and exploratory data analysis for ongoing business projects.
Assisted in executing analytical tasks including data cleaning, preprocessing, and generating actionable insights using advanced statistical techniques.
Applied core principles of statistical analysis and demonstrated strong knowledge in data manipulation, visualization, and interpretation to support project objectives.
Collaborated with cross-functional teams to deliver technical solutions and provided valuable inputs for optimizing data pipelines and business outcomes.
Maintained professionalism, accountability, and high-quality standards throughout the 2-month internship, earning recognition for commitment and performance.
Artificial Intelligence Intern
Btech Walleh
July 2024 - August 2024
Developed and deployed machine learning models in 2+ AI projects, addressing specific challenges.
Designed AI-driven solutions with cross-functional teams, utilizing NLP and computer vision techniques.
Processed and analyzed datasets with 100,000+ records for preprocessing, training, and performance
evaluation.
Enhanced proficiency in TensorFlow and PyTorch by implementing and testing 5+ models.
Corporate Development Specialist Intern
Younity.In
July 2023 - August 2023
Conducted competitive analysis using 10+ industry reports, identifying trends for strategic development.
Developed and implemented 3+ strategic initiatives, enhancing market positioning and revenue.
Contributed insights in 10+ meetings, refining strategic plans.
Assisted in preparing financial forecasts, aiding decision-making with actionable data.
"SO, YOU'VE MADE IT THIS FAR—GUESS THAT MEANS YOU'RE PRETTY INTERESTED IN MY PROFILE!"
NOW, IT'S YOUR TURN TO MAKE THE NEXT MOVE. LET'S BE REAL—YOU'RE ALREADY EXCITED ABOUT WHAT I BRING TO THE TABLE.
SO WHY THINK TWICE? GIVE ME A SHOT, AND I PROMISE I’LL GO BEYOND YOUR EXPECTATIONS. YOU’LL LOOK BACK AND KNOW
YOU MADE THE RIGHT CALL.
LOOKING FORWARD TO THE OPPORTUNITY TO BRING MY SKILLS TO YOUR TEAM!
