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About Me

Building The Future With Data

Data Science Innovator from IIT Palakkad

I'm passionate about building production-grade ML systems that solve complex real-world problems. Currently working as an AI/ML Intern at Easy Algo, where I develop sophisticated quantitative trading models for financial markets, leveraging machine learning to identify profitable opportunities in volatile market conditions.

My expertise spans the entire data science pipeline: from advanced feature engineering and statistical inference to deploying scalable ML solutions and building full-stack data applications. I specialize in transforming complex datasets into elegant, high-impact solutions that drive measurable business value.

Beyond technical work, I serve as Fest Coordinator for Petrichor, IIT Palakkad's flagship cultural festival, where I lead cross-functional teams managing 30+ large-scale events with 1000+ participants—demonstrating my ability to execute complex projects under pressure and coordinate diverse stakeholders.

B.Tech Data Science - Indian Institute of Technology Palakkad
AI/ML Developer Intern - Easy Algo (Quantitative Finance)
Fest Coordinator - Petrichor, IIT Palakkad
3+
Production Projects
100K+
Data Points Analyzed
96.17%
Peak Model Accuracy
80%
Analysis Time Reduction
Technical Arsenal

Skills & Technologies

A comprehensive, battle-tested toolkit for building intelligent, scalable systems

Programming Languages

Python Java R SQL (PostgreSQL) C++ C HTML/CSS

Machine Learning & AI

Scikit-Learn PCA SVM Random Forest Clustering Feature Engineering Ensemble Methods HMMs Hyperparameter Tuning

Data Analytics & Visualization

Pandas NumPy Matplotlib Seaborn Plotly Statistical Inference EDA Hypothesis Testing

Backend & Development Tools

Flask PostgreSQL Streamlit Git REST APIs Jupyter Postman Excel
Portfolio

Featured Projects

Production-ready solutions demonstrating end-to-end ML pipeline expertise

NEXUS: E-Commerce Analytics Platform

Enterprise-grade analytics dashboard processing 100K+ transactions with automated ETL pipeline, advanced statistical inference, and interactive ML-driven insights for data-driven decision making.

100K+ transactions 80% time saved Multi-algorithm segmentation
  • Statistical Inference Engine: Implemented t-tests, Chi-square, and ANOVA for hypothesis testing and correlation analysis
  • Market Basket Analysis: Deployed Apriori algorithm with Support/Confidence/Lift metrics for product association mining
  • Customer Segmentation: Built clustering pipeline using K-Means, Hierarchical, and DBSCAN with PCA dimensionality reduction
  • Interactive Visualization: Created network graphs using PyVis for association rule visualization, reducing manual analysis by 80%
Python Streamlit Scikit-Learn MLxtend Plotly Pandas

Human Activity Recognition System

Highly optimized ML pipeline achieving 96.17% accuracy in classifying human activities from smartphone sensor data (UCI HAR dataset), demonstrating advanced dimensionality reduction and model optimization techniques.

96.17% accuracy 82% feature reduction 360+ tuning combinations
  • Dimensionality Reduction: Applied PCA to reduce features from 561 to 102 (82% reduction) while improving model performance
  • Performance Optimization: Achieved accuracy improvement from 93.6% to 96.17% through strategic feature engineering and PCA
  • Hyperparameter Tuning: Conducted exhaustive GridSearchCV with 360+ parameter combinations across Logistic Regression, Random Forest, and SVM models
  • Production Deployment: Exported production-ready pipeline (scaler.pkl, pca.pkl, svm_pca.pkl) for seamless integration
Python Scikit-Learn PCA SVM GridSearchCV Joblib

FinTrack: Investment Management Dashboard

Full-stack investment portfolio management system with role-based access control, secure authentication, and real-time tracking for users, administrators, and financial advisors.

Secure authentication 3 role types ACID compliant
  • Database Architecture: Designed normalized PostgreSQL schema with stored functions for complex financial computations
  • Secure REST APIs: Implemented comprehensive authentication system using bcrypt with role-based access control (RBAC)
  • Multi-Role Dashboards: Built responsive, tailored interfaces for users, administrators, and financial advisors
  • Transaction Management: Ensured ACID compliance for portfolio tracking, goal management, and advisor assignment operations
Flask PostgreSQL HTML/CSS JavaScript REST APIs bcrypt
Career Journey

Experience & Leadership

AI/ML Developer Intern

Easy Algo
Remote
Oct 2025 – Present

Developing sophisticated quantitative AI/ML models for financial market prediction and algorithmic trading systems, focusing on data-driven strategies to maximize portfolio returns in volatile market conditions.

  • Building and optimizing machine learning algorithms to identify profitable entry and exit points in financial markets with real-time data processing
  • Implementing advanced feature engineering techniques to extract predictive signals from complex market data, time series analysis, and technical indicators
  • Enhancing portfolio returns and decision accuracy through rigorous backtesting, model validation, and performance optimization strategies
  • Collaborating with quantitative analysts to develop production-grade trading strategies that integrate seamlessly with existing algorithmic trading infrastructure

Fest Coordinator

Petrichor, IIT Palakkad
Palakkad, Kerala
2025 – Present

Leading end-to-end planning and execution of IIT Palakkad's flagship inter-college cultural festival, demonstrating exceptional project management, leadership, and cross-functional coordination skills.

  • Spearheading comprehensive planning and logistics for 30+ major events across multiple categories, managing budgets exceeding ₹10 lakhs
  • Coordinating with 10+ departments and external vendors to ensure seamless execution of large-scale events with 1000+ participants
  • Implementing efficient resource allocation systems for event scheduling, venue management, equipment procurement, and volunteer coordination
  • Leading crisis management and real-time problem-solving to handle unexpected challenges and ensure flawless event delivery under tight deadlines

Bachelor of Technology in Data Science

Indian Institute of Technology Palakkad
Palakkad, Kerala
Jul 2023 – Jun 2027

Pursuing comprehensive education in Data Science and Machine Learning with focus on statistical modeling, advanced algorithms, and system design at one of India's premier engineering institutions.

  • Core Coursework: Machine Learning, Statistical Inference, Database Management Systems, Operating Systems, Data Structures & Algorithms, Feature Engineering
  • Technical Specializations: Advanced ML techniques (Ensemble Methods, PCA, Clustering), System Design (Process Management, Memory Management, Concurrency)
  • Active participant in coding competitions, technical workshops, and collaborative research projects with faculty and industry professionals
Get In Touch

Let's Build Something Extraordinary

I'm actively seeking full-time opportunities in Data Science, Machine Learning Engineering, and Quantitative Analytics. Whether you're looking to collaborate on innovative projects, discuss cutting-edge ML solutions, or explore how data-driven insights can transform your business—I'd love to connect.

Send Email Connect on LinkedIn
parv4careers@gmail.com
+91-7861080021
Palakkad, Kerala, India