Hi, I am Tushar
I am a Data Scientist

ABOUT

ABOUT ME

As a dedicated Data Scientist, I thrive on solving complex problems and transforming data into actionable insights. My expertise includes Python, SQL, machine learning, and data visualization tools like Tableau and PowerBI. I excel at uncovering patterns, building predictive models, and delivering data-driven solutions. I appreciate coding for its art and science, always pushing the boundaries of innovation..

As a Data Scientist, I primarily use Python, specializing in machine learning, deep learning, and natural language processing (NLP). With extensive programming experience, I excel in developing and managing data science projects, ensuring seamless integration and optimal performance in data-driven solutions. I leverage TensorFlow and PyTorch for advanced deep learning tasks, and Scikit-learn for robust machine learning models. For data manipulation and analysis, I rely on Pandas and NumPy, while Matplotlib and Seaborn are my go-to libraries for insightful data visualizations. In the realm of NLP, I utilize NLTK and SpaCy to process and analyze text data effectively. My development environment includes Jupyter Notebooks and VS Code, with GitHub for version control and collaborative development. Additionally, I use SQL for efficient database management and integration with powerful data visualization tools like Tableau and Power BI for comprehensive reporting and presentation of data insights..

As a Data Scientist, I excel in developing robust databases, creating intuitive user interfaces, writing and testing efficient code, and troubleshooting both simple and complex issues. My expertise extends to implementing innovative features, ensuring seamless functionality, and driving data-driven solutions for optimal performance..

SKILLS

EXPERIENCE

My Professional Journey

Python Developer (Dec 2025 – Apr 2026)

Company: Micro Integrated Semiconductor Systems Pvt Ltd

--> Building a high-performance 3D civil engineering design measurement desktop application (PyQt5 + VTK + Open3D +MySQL) for road, bridge, and infrastructure projects at Micro Integrated. Delivered a robust solution for precise modeling.

Python Developer (Mar 2025 – Dec 2025)

Company: Mounarch Tech Solutions and Systems Pvt.Ltd

--> Built real-time 3D point cloud visualization platform delivering sub-mm precision measurements via interactive GUI. Engineered pipelines processing multi-GB datasets at greater than 60 FPS with modular, production-grade code to boost team velocity and scalability

Machine Learning Intern (May 2024 – June 2024)

Company: Cognifyz Technologies

--> Developed and implemented machine learning models and data-driven analytics solutions using Python, delivering actionable insights for business optimization and decision-making.

Data Science Intern (May 2024 – June 2024)

Company: CodSoft

-->Developed machine learning models with high accuracy: 95% for Cat-Dog classification, 85% for Titanic survival prediction, and 96% for spam detection, improving overall predictive performance.

WORK

My Recent Projects

Advanced Amazon Stock Price Forecasting with Random Forest Regressor (Jan 2024 – Feb 2024)

--> Technologies: Implemented predictive modeling using Python, Pandas, NumPy, and Scikit-learn.
--> Model: Developed a high-accuracy forecasting model with Random Forest Regressor.
--> Performance: Achieved a robust 0.94 R² score through rigorous model evaluation.
--> Techniques: Utilized advanced feature engineering and thorough validation to optimize forecasting precision.

Bitcoin Price Analysis (Feb 2024 – March 2024)

--> Technologies: Python, Pandas, Quandl API, Plotly.
--> Conducted comprehensive analysis of Bitcoin price trends across multiple exchanges.
--> Developed dynamic, interactive visualizations to emphasize critical price fluctuations
--> Delivered actionable insights to guide strategic investment decisions.

Amazon Prime Video Scraping (March 2024 – April 2024)

--> Designed and implemented a robust web scraping system using Python, Selenium, and BeautifulSoup to extract and analyze Amazon Prime Video data.
--> Optimized data processing workflows with Pandas, enabling seamless analysis and trend identification. --> Crafted dynamic visualizations and word clouds to uncover key insights in content trends and rating patterns. --> Automated data extraction and storage, ensuring efficient, scalable, and repeatable analysis of streaming media content.

Twitter Sentiment Analysis (April 2024 – May 2024)

--> Advanced Sentiment Analysis: Applied Python and NLTK’s VADER to analyze Twitter data, revealing nuanced sentiment trends and user emotions.
--> Efficient Data Extraction: Utilized Tweepy for robust extraction and processing of tweet data to ensure high-quality analysis.
--> Dynamic Data Visualization: Created insightful visualizations using Matplotlib, including histograms, time-series plots, and word clouds, to illustrate sentiment trends and engagement metrics.

CONTACT

Interested in working together? Let's talk