VARNIKA BIR
varnikabir2003@gmail.com | +91-9717790733
EDUCATION
❖ B.Tech. : Computer Science, Spec. Artificial Intelligence & Machine Learning
Manav Rachna International Institute of Research and Studies (2021- 2025 | CGPA- 8)
❖ XII & X (CBSE) | Amity International School, Pushp Vihar, Delhi (XII: 89% (2021), X: 96% (2018))
EXPERIENCE
❖ AI Engineer Intern | Radical AI (Dec ‘23- Feb’24)
● Designed data pipelines and ETL workflows to process 100K+ data points for AI-powered career
recommendations.
● Improved data preprocessing and fine-tuning for predictive analytics, increasing recommendation
accuracy to 94%. Reducing data retrieval time by 40%.
❖ ML Engineer Intern | Codebeautify (Dec ‘22- Oct’23)
● Analyzed and processed structured/unstructured datasets (500K+ samples) to extract insights for
NLP-based AI models.
● Implemented statistical techniques (clustering, regression, PCA) to improve feature selection and data
efficiency. Developed SQL queries for large-scale data extraction, boosting computational efficiency by
30%.
CERTIFICATIONS
● Microsoft | Data Engineer Associate Certified (DP-203) (Score: 964/1000 | May’24)
● Microsoft | Data Scientist Associate (DP-100) (Score: 864/1000 | Dec’23)
● Microsoft | AI-900, AZ-900 & SC-900 (Score: 916, 805, 935/1000 | Dec’22 – May’23)
● Google & Infosys | IT Automation in Python Certified (Feb’23)
● Infosys | Artificial Intelligence & Machine Learning Certified (Dec’22)
ACADEMIC PROJECTS
❖ Forsee | Data Analysis & Machine Learning
● Developed interactive dashboards with predictive analytics, improving real-time financial forecasting
accuracy by 20%. Applied time series modeling, regression analysis, and anomaly detection to optimize
business decision-making. Utilized SQL, Python (Pandas, NumPy, Scikit-learn), Tableau, and APIs for
live data visualization of 50K+ transactions.
❖ CogniBot | Retrieval-Augmented Generation (RAG)
● Designed an AI-powered data retrieval system to process 10,000+ business documents using RAG
methodology. Reduced data extraction time by 60% through NLP-driven categorization and structured
database indexing. Leveraged SQL, Python (NLTK, SpaCy), and Tableau for data visualization.
SKILLS
❖ Data Analysis: Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization
❖ Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Excel
❖ Databases: SQL, MongoDB, Firebase
❖ Programming: Python (Pandas, NumPy, Scikit-learn), SQL, MERN Stack
AWARDS & ACHIEVEMENTS
❖ Winner, AI Productivity Week | Haryana Govt. State Productivity Council (Feb 2024)
❖ 2nd Position, ArduBotics Robotics | IIT-BHU Varanasi, Technex 2023
PUBLICATIONS
❖ V. Bir, T. Kumar, P. Tanwar, P. Kumar, "Advanced Tool for Spreadsheet to Predictive Dashboard
Transformation," ICAICCIT 2024, IEEE, 2025.
❖ V. Bir, A. Bhatt, S. Chauhan, P. Tanwar, "ML-Based App for Children with Autism Spectrum Disorder,"
ICAICCIT 2023, IEEE, 2024.
