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Hi, I'm Harsh Srivastava

Machine Learning Engineer & Software Developer specializing in AI solutions and data-driven applications.

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About Me

Who I Am

I'm a Computer Science and Engineering student at Lovely Professional University with a passion for Machine Learning, AI, and Software Development. I specialize in building data-driven applications and predictive models.

  • Education

    Bachelor of Technology - Computer Science and Engineering

    Lovely Professional University, Punjab | CGPA: 8.2

    Since August 2022

    Intermediate (ISC)

    St. Basil's School, Basti, Uttar Pradesh | 75%

    April 2019 - March 2021

    Matriculation

    St. Basil's School, Basti, Uttar Pradesh | 85%

    April 2017 - March 2019

  • Certifications

    • Complete 84 hours of Data Structure from Hitbullseye
    • Machine learning and its application
    • Become a Data Scientist
    • Introduction to MongoDB for students
    • Complete 105 hours of Data Structure from Hitbullseye (Summer Training)
    • Certification in the field of Database through MongoDB

Email

srivastavaharsh148@gmail.com

LinkedIn

Harsh Srivastava

GitHub

github.com/HarshSrivastava12215211

Coding Profiles

HackerRank: srivastavahars36

LeetCode: HarshSrivastava-12215211

Skills

Technical Expertise

My technical toolkit spans machine learning, software development, and data engineering.

Programming Languages

Python
Java
JavaScript
React JS

Frameworks & Libraries

TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
ComfyUI

Tools & Platforms

Flask API
MySQL
MongoDB
Power BI
Android Studio
Git
Jupyter
Backend Development

DevOps & Cloud (Basic Knowledge)

Docker
GitHub Actions
AWS (SageMaker, EC2)

Concepts

Supervised/Unsupervised Learning
Feature Engineering
Model Evaluation
Cross-validation
Hyperparameter Tuning
Projects

Featured Work

A showcase of my technical projects and machine learning applications.

Market Trend Prediction Model

Nov 2024 – Dec 2024
  • Developed a pipeline of over 10 machine learning models including Random Forest, XGBoost, LSTM, and ARIMA to predict future stock market behavior.
  • Collected and preprocessed stock data from public APIs and financial datasets.
  • Conducted feature selection and normalization to improve prediction accuracy.
  • Created a decision-support system to suggest optimal buy and sell timeframes.
  • Used cross-validation and backtesting for model evaluation.
Python
TensorFlow
LSTM
XGBoost
Time Series Analysis
Market Trend Prediction

Interview Bot

Jan 2025 – Feb 2025
  • Designed an AI-powered chatbot that conducts mock interviews tailored to specific job roles.
  • Integrated NLP models for understanding and evaluating candidate responses in real time.
  • Created a scoring algorithm that rates answers on a scale of 1–10 based on relevance, clarity, and correctness.
  • Developed a front-end interface using React and back-end logic in Flask.
  • Deployed the bot locally for real-time interviewer use cases.
Python
NLP
React
Flask
Chatbot
Interview Bot

Sentiment Analysis on Twitter and Reddit

Mar 2024 – May 2024
  • Created an end-to-end pipeline to fetch tweets and Reddit comments via API and analyze their sentiment.
  • Implemented NLP preprocessing techniques including tokenization, stop-word removal, and stemming.
  • Used LSTM and BERT models to classify sentiment as Positive, Neutral, or Negative.
  • Visualized sentiment trends over time to identify public opinion shifts.
  • Tuned model performance using metrics such as F1-score, accuracy, and confusion matrix.
Python
NLP
BERT
LSTM
API Integration
Sentiment Analysis
Experience

Professional Journey

My work experience and internships in the field.

Freelancer

thEquals

Since October 2024

Project Overview:

Re-train the model. Find out the errors in the model. Make it fail. Write new Code and re-train the model. Write the feedback for other people who are training the model and ask them to train again if the work hasn't been completed as per the demand.

Tech Stack:

Python
TensorFlow
Achievements

Awards & Recognition

Highlights of my accomplishments and recognition in the field.

3rd Rank in Hackathon: HACKOVERFLOW 5.0

Participated and secured 3rd position in the Hackathon organized by Hackathon.

3rd Rank in Xe-Fest – The Xebia Day

Secured 3rd position in the Xe-Fest competition organized by Xebia.

Contact

Get In Touch

Have a project in mind or want to discuss opportunities? Feel free to reach out.

Let's collaborate

I'm currently available for freelance work and open to new opportunities in machine learning and software development. If you have a project that requires data-driven solutions or AI integration, I'd love to hear about it.

My approach

  1. 1
    Understanding your requirements and project goals
  2. 2
    Data analysis and solution design
  3. 3
    Implementation with iterative feedback
  4. 4
    Testing, deployment, and knowledge transfer
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