HARSH TYAGI
+91-880******* # *********@*****.*** ï https://www.linkedin.com/in/harshtyagi0007/ §
https://github.com/harsh252
Education
VIT University Sep 2022 – May 2024
M.Tech- Computer Science and Engineering with Big Data Analytics Vellore, Tamil Nadu
• CGPA: 8.4/10
SRM University June 2017 – May 2021
B.Tech Computer Science and Engineering Modinagar, UttarPradesh
• percentage- 72.1/100
Relevant Coursework
• Deep Learning
• Big Data Analytics
• Database System
• Data Structures
• Data Analytics
• Machine Learning
• Data Visualization
• Computer Networks
Technical Skills
Languages: Java, C++, Python, Data Analytics, SQL, NoSQL, Power BI, Zoho Analytics, FastAPI, NLP Developer Tools: Pandas, Keras, TensorFlow, Scikit-learn, jupyter Notebook, Apache Hadoop, Apache Spark, Zoho Analytics, Excel, Power BI
Technologies/Frameworks: AWS, Linux, GitHub, Jupyter Notebook, Power BI, Zoho Analytics, Tableau Experience
QED Analyticals LLP Jan 2025 – Present
Data Scientist - Full Time Motinagar, Delhi
Develop and implement predictive models using XGBoost, MultiOutputRegressor, and Scikit-Learn to extract actionable insights from complex datasets.
Build computer vision solutions using PyTorch for image classification tasks.
Work as a Python backend developer, building scalable APIs using FastAPI and integrating machine learning models into backend systems.
Collaborate with engineering teams to deploy machine learning models to production using Docker. Forbes Marshall Feb 2024 – Jan 2025
Project Trainee (Data Scientist) Pune, Maharashtra
Developed and maintained data visualizations and interactive dashboards using Zoho Analytics and Power BI.
Generated comprehensive reports by extracting, transforming, and analyzing large datasets to provide actionable insights to stakeholders.
Implemented advanced data visualization techniques in Zoho Analytics to present complex datasets in a comprehensible manner.
Designed and implemented RESTful APIs and web services using Python. Projects
An Enhanced Recommendation System Using Ensemble Learning Techniques Sep 2022
· Used a collaborative filtering model relying on Singular Value Decomposition SVD to capture user-item interactions effectively with RMSE.
· Skillfully integrated both models, resulting in a potent hybrid recommendation system that greatly improved accuracy with RMSE of 2.99.
Predictive Sales Forecasting- SQL, Power BI Associated with VIT September 2023
· In the Predictive Sales Forecasting project, I orchestrated a comprehensive data warehouse using SQL, seamlessly integrating data from diverse sources.
· Developed advanced forecasting models to predict future sales trends. The outcome significantly contributed to enhancing sales planning strategies, ensuring a more informed and proactive approach to business decisions. Certificates and Workshops
Google Data Analytics
ATS - Certification in Programming Languages (6 MONTHS) Workshop on Machine Learning and AI by Diginique Tech Labs (IIT ROORKEE)