Bharati Jagdish
Panigrahi

I'm a

About

Greetings! I'm a passionate tech enthusiast currently based in Los Angeles. My journey commenced with a Bachelor's degree in Data Science from NMIMS University in Mumbai, and it has since evolved to culminate in a Master's in Computer Science from the prestigious University of Southern California. My zest for knowledge is driven by an insatiable curiosity, and my commitment to continuous learning propels me ever forward. With a solid educational foundation, I am impassioned about harnessing the boundless potential of technology to address and unravel societal challenges.

Data Science & AI Enthusiast

"Navigating the digital frontier with passion and purpose."

  • Birthday: 24 Nov. 2001
  • City: Los Angeles, USA
  • Contact: LinkedIn
  • University: University of Southern California (Viterbi)
  • Degree: MS Computer Science
  • Email: bharatipanigrahi9901@gmail.com

Big Data & Machine Learning: MySQL, Machine Learning, Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning
Data Science & Miscellaneous skills: ETL, Data Science Pipelines, Probability, Statistics, Data Analytics, Data Visualization, Natural Language Processing (NLP), Topic Modelling, Text Clustering
Soft Skills: Articulate, Collaborative, Multi-Tasking, Decision Making, Logical Acumen, Meticulous
Languages: English, Hindi, Marathi, and Odia

Skills

HTML 90%
CSS 70%
JavaScript 50%
Flask 70%
Tableau 80%
Microsoft PowerBI 90%
Microsoft Excel 80%
SQL 75%
R 55%
Python 95%
Numpy 90%
Pandas 90%
Scikit Learn 85%
Tensorflow 70%

Months of Experience

HTML & CSS

Javascript

Python

Microsoft Excel

Statistics & Probability

Database Management

Data Processing & Visualization

Machine Learning

Resume

Education

Masters in Computer Science

2023 - 2025

University of Southern California (Viterbi School of Engineering),
Los Angeles, CA

Achievements:
Awarded as the Volunteer of the Year award by the USC Volunteer Center & City of Los Angeles.

Relevant Coursework:
CSCI 571 - Web Technologies, CSCI 567 - Machine Learning,
CSCI 570 - Analysis of Algorithms, CSCI 561 - Foundations of AI,
CSCI 560 - Data Science Professional Practicum,
CSCI 544 - Applied Natural Language Processing

Bachelor of Technology (Data Science)

2019 - 2023

Narsee Monjee Institute of Management Studies (NMIMS) University, Mumbai, India

Achievements:
Awarded the Meritorious Student Award for the BTech Data Science 2019–2023 batch.

Relevant Coursework:
Applied Mathematics, Database Management Systems, ETL, Probability, Statistics, Machine Learning, Natural Language Processing, Predictive Modelling, Deep Learning, Statistics, Design Thinking, Big Data, MapReduce, Time Series

Research Publications

Bharati Panigrahi, Krishna Chaitanya Rao Kathala, Dr. Koteswara Rao Seelam (2023), Impact Assessment on the Factors Affecting the Crop Yield using Data Analytics and Principal Component Analysis, Recent Trends in Computational Intelligence and Its Application Proceedings of the 1st International Conference on Recent Trends in Information Technology and its Application (ICRTITA, 22) (1st ed.), Taylor and Francis. (Link)

Bharati Panigrahi, Krishna Chaitanya Rao Kathala, Dr. M. Sujatha (2023), A Machine Learning-Based Comparative Approach to Predict the Crop Yield Using Supervised Learning with Regression Models, Procedia Computer Science Journal, Elsevier, Volume 218, ISSN 1877-0509. (Link)

Extra-curriculars & Certifications

Tableau Essential Training, LinkedIn Learning.

Master Microsoft Excel, LinkedIn Learning.

Among top 11 winning teams, Data for Social Good Hackathon.

Professional Experience

Web Development Intern

May 2024 - Aug 2024

AKALA, Los Angeles, USA

  • Collaborated effectively with the AKALA team to create a cohesive and visually appealing interface, linking pages seamlessly for improved navigation.
  • Utilized HTML, CSS, and Figma to design and develop a multi-page, user-centric website for AKALA, significantly enhancing the client's digital presence.
  • Successfully completed the project within a stringent timeline, demonstrating strong project management and technical skills.
  • Received formal recognition from the AKALA team for exceptional work quality and contribution to the project's success.

Data Science Intern

Jan 2023 - July 2023

Think Analytics India Pvt. Ltd., Mumbai, India

  • Aimed the development of an advanced analytics layer to leverage financial data from the Account Aggregator ecosystem.
  • Demonstrated exceptional data management skills by standardizing diverse data formats, eliminating outliers, and rectifying issues of incomplete data.
  • These efforts resulted in a remarkable 7% enhancement in the performance of machine learning model when compared to the existing one.
  • Innovatively designed and engineered user-friendly visualization tools, making complex financial data easily accessible and comprehensible for Financial Information Users (FIU).

Research Analyst

Dec 2021 - June 2022

Publishsutra, Hyderabad, India

  • Conducted research in alignment with Zero Hunger Sustainable Development Goals, identifying critical factors impacting crop productivity in Telangana.
  • Performed Principal Component Analysis (PCA) to assess the feature relevance among the numerous elements impacting crop yield, revealing that rainfall has the greatest influence on crop yield.
  • Implemented Machine Learning (ML) to estimate the crop yield and adopted Supervised Learning for machine learning and trained 6 different regression models on our data and obtained a final model with a Mean Absolute Error of 468.16.
  • This experience helped me acquire skills in synthesis, writing, data collection, data analysis, the capacity to make conclusions, and a greater comprehension of the scientific process.

Projects

Ebay Shopping Website

Web Design / Nov. 2023

Ebay Shopping iOS App

App Design / Dec. 2023

Othello Reversi

AI / Mar. 2024

Memory Card Game

AI / Dec. 2021

OCR for Translation

Deep Learning / Apr. 2022

Skin Cancer Classification

Image Classification / Dec. 2023

Currency Classification

Neural Netorks / Nov. 2021

Face Recognition

Neural Netorks / Nov. 2022.

Image Denoising

Image Processing / Nov. 2021

Healthcare Chatbot

NLP / May 2022

Cyberbullying Detection

NLP / Nov. 2022

Resume Screening

NLP / Apr. 2022

Water Quality Monitoring

Machine Learning / Jan. 2022

Comparative Analysis

Machine Learning / Nov. 2021

House Price Prediction

Machine Learning / Apr. 2021

Online Voting System

DBMS / Apr. 2021

Crop Yield Prediction

Data Analysis / Oct. 2021

Home Remedies Analysis

Statistics / Nov. 2020

Certifications

Elsevier Procedia Computer Science

Certificate of Publication

ICMLDE 2022

Paper Presentation

ICRTITA 2022

Paper Presentation

OMDENA - Hyderabd Chapter

Text-Based Healthcare Chatbot

OMDENA - Kutch Chapter

Water Quality Monitoring Dashboard

Data for Social Good Hackathon

Among Top 11 winning teams

Tech for Good 2022

Certificate of Appreciation

Tableau Essential Training

LinkedIn Learning

Python & Statistics for Financial Analysis

Coursera