Harshit
Gurugram, Gurgaon Division, Haryana, India
Experience: 0 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: MySQL, NumPy, pandas, Power BI, Problem Solving, Python, Python3, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 50
- Educational Background and Technical Foundation
Holds a Master of Science in Data Analysis from Shoolini University and a Bachelor of Science in Physics from Himachal Pradesh University. Educational foundation combines analytical and computational skills essential for data science applications. - Skill Set and Technical Expertise
Proficient in Python, SQL, and data visualization tools such as Matplotlib, Seaborn, and Power BI. Expertise includes machine learning techniques (supervised and unsupervised learning), deep learning (CNN and NLP), and web scraping with BeautifulSoup and Scrapy. Recognized for strong analytical thinking, problem-solving, and adaptability. - Professional Training and Certifications
Completed a Postgraduate Program in Data Science from Great Learning and a Data Scientist Bootcamp from UpGrad KnowledgeHut. Certified in modern data science methodologies, demonstrating commitment to continuous learning in the field. - Project Experience in Data Science
Successfully developed a Credit Card Fraud Detection Model, leveraging machine learning techniques to identify anomalies in transactions with high precision and accuracy. Deployed a Streamlit-based application for real-time fraud prediction, showcasing expertise in feature engineering, data transformation, and model evaluation. - Predictive Modeling Expertise
Designed a predictive Customer Lifetime Value Analysis Model for a retail business. Delivered actionable insights through a data pipeline, feature selection, and performance evaluation metrics like MAE and R-squared. Created interactive visualizations to enhance customer retention strategies and optimize marketing efforts. - Research and Publication
Authored a research paper on “Machine Learning Algorithms for Predicting Customer Lifetime Value: A Systematic Evaluation,” presented at ICACITE, reflecting proficiency in advanced machine learning techniques and their real-world applications in business analytics.