Summary
Overview
Work History
Education
Skills
Extracurricular Activities
Positions Of Responsibility
Timeline
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HARDIK PARNAMI

HARDIK PARNAMI

Summary

Data Scientist with expertise in Python, R, SQL, and machine learning libraries including pandas, scikit-learn, and seaborn. Proficient in designing and implementing predictive models and advanced algorithms to solve complex problems, enhance data-driven decision making, and improve operational efficiency. Committed to continuous learning and applying the latest AI technologies in practical settings.

Overview

1
1
year of professional experience

Work History

Image Classification Model

Codebasics
  • Built and trained models using logistic regression, SVM, and RandomForestClassifier. Achieved 85% accuracy in identifying famous personalities using the OpenCV library.

Real Estate Price Predictor Website

CodeBasics
  • Built a machine Learning model using sklearn and linear regression using Bangalore home prices dataset from kaggle.com
  • Developed a model using linear regression on the Bangalore home prices dataset. Implemented a Python Flask server to handle HTTP requests, achieving a model accuracy of 90% in predicting real estate prices.
  • Did data load and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tuning, k fold cross validation etc.

Binary Tree for Company Employees Hierarchy

Prof. Srikanta
  • Worked with Linked Lists in C language to create a hierarchy flowchart of a Company's Employees
  • Made Functions like Employees at same level, team size of particular employees, sum of salary of employees at same level, etc used for Extracting data which can be used to Optimise Company's Human Resources.

Integer Linear Programming Solver

Prof. Prashant Palkar
07.2023 - 11.2024
  • Made an efficient ILP solver by implementing Simplex, Dual Simplex technique using numPy.

Sudoku Solver

(Prof Srikanta)
  • Developed an image-based Sudoku solver capable of analyzing Sudoku puzzles and generating solutions if it exists
  • Concept of Deep Learning, OCR, CNN and OpenCV were used to identify the numbers in the input image of the puzzle
  • Used Python to solve complex Sudoku's with the use of Recursion and Backtracking.

Best Delivery Route

Prof. Srikanta
  • Developed a code in C language to find the minimum time requiring route for delivery partners.

Education

B.Tech - Mechanical Engineering

Indian Institute of Technology Delhi
05-2025

XII (CBSE) -

Prasad Public School
01.2021

X (ICSE) -

Sacred Heart Convent School
01.2019

Skills

  • Programming Languages: Python, R, SQL, MATLAB, C, C
  • Machine Learning Libraries: pandas, scikit-learn, matplotlib, seaborn
  • Data Analysis: Regression, Classification, Clustering
  • Tools: Jupyter Notebook, Microsoft Office (Excel, Word, PowerPoint), SolidWorks, Autodesk Inventor

Extracurricular Activities

Represented Hostel at Inter Hostel Championship in Weighlifting.

Positions Of Responsibility

  • Weightlifting Captain, Vindhyachal Hostel, IIT Delhi (June'23-Current): Led the team in national competitions, fostering team spirit and managing all training and competitive match logistics.
  • Activity Head, TRYST'23, IIT Delhi (June'22-May'23): Oversaw technical fest activities, focusing on the integration of data analytics tools to improve event management and participant engagement.

Timeline

Integer Linear Programming Solver

Prof. Prashant Palkar
07.2023 - 11.2024

Image Classification Model

Codebasics

Real Estate Price Predictor Website

CodeBasics

Binary Tree for Company Employees Hierarchy

Prof. Srikanta

Sudoku Solver

(Prof Srikanta)

Best Delivery Route

Prof. Srikanta

B.Tech - Mechanical Engineering

Indian Institute of Technology Delhi

XII (CBSE) -

Prasad Public School

X (ICSE) -

Sacred Heart Convent School

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