Mohit
Gurugram, Gurgaon Division, Haryana, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: CPP, Docker, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PySpark, Python, Python3, PyTorch, TensorFlow
Previously worked at: India-based Companies, IT Service Companies, Product Companies
Assessment Score: 77
- Proven Expertise as a Data Scientist
Over 2 years of professional experience in data science, including current role at Airtel Finance and previous tenure at InfoEdge India Limited. Demonstrated success in developing machine learning models and data-driven solutions that enhance operational efficiency and revenue growth. - Advanced Machine Learning Solutions
Developed predictive models like hierarchical GBT and ensemble models (XGBoost, Random Forest) to optimize targeting and telecalling recommendations, achieving a 23% reduction in costs and 400% profit margins. Designed innovative models such as Siamese networks and Word2Vec-powered embeddings, enhancing recommendation precision by up to 15%. - Specialization in Natural Language Processing (NLP)
Achieved over 90% accuracy in extracting key financial entities using custom-trained spaCy models integrated with heuristic rule-based approaches. Expertise in NLP techniques, including Word2Vec, LSTM, and BERT, to process complex transactional and user interaction data for enhanced decision-making. - Strong Academic Foundation in Computer Science
Holds a B.Tech in Computer Science Engineering from the National Institute of Technology, Rourkela. Additional certifications in Pattern Recognition, Machine Learning, and NLP reinforce a strong theoretical and practical understanding of advanced technologies. - Hands-On Technical Skills
Proficient in Python, PySpark, SQL, TensorFlow, Gensim, and Docker. Skilled in machine learning, deep learning, and NLP tools, leveraging libraries like Numpy, Pandas, and Sklearn for data preprocessing and model development. - Notable Achievements and Project Impact
Secured 5% of total company revenue through optimized recommendations and improved model scalability at InfoEdge. Delivered actionable insights in projects like employee churn prediction, achieving 83% accuracy, while consistently improving precision, relevance, and cost efficiency in real-world applications.