Saptesh
Noida, Uttar Pradesh, India
Experience: 4 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Azure, GCP, Jupyter Notebooks, Matplotlib, NumPy, pandas, Problem Solving, PySpark, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: Fortune 500, IT Service Companies
Assessment Score: 75
- Professional Summary and Expertise: Data Science Associate with 3 years and 8 months of experience specializing in machine learning, predictive modeling, and data analytics. Skilled in building advanced ML models, including BERT, Decision Trees, Random Forests, GRU, RNN, LSTM, and XGBoost. Adept at statistical analysis, data visualization, and communicating insights to technical and non-technical stakeholders. Holds a B.Tech in Mechanical Engineering with a passion for leveraging data-driven insights for business growth.
- Work Experience Highlights: Currently at TCS as a Data Science Associate, developing machine learning models and performing exploratory data analysis for actionable insights. Previously worked as a Supply Chain Analyst at TVS Supply Chain Solutions, where data mining, cleaning, and visualization efforts supported the transition from manual to automated warehouse management systems across 150+ warehouses.
- Key Skills and Proficiencies: Expertise in Python programming, NLP, predictive analytics, and statistical modeling. Skilled in data processing, mining, and visualization using SQL, pivot tables, and advanced EDA techniques. Proficient in deploying machine learning models and conducting exploratory analysis to solve complex problems.
- Certifications and Technical Credentials: Holds professional certifications as a Data Engineer and Machine Learning Engineer, valid through May 2025. These credentials validate expertise in building scalable data pipelines and advanced ML solutions to solve real-world problems.
- Educational Background and Projects: Graduated with a B.Tech in Mechanical Engineering from PSIT Kanpur (2020). Completed notable projects such as a BERT-based multi-class classification model, involving fine-tuning and testing on large datasets to achieve high accuracy in prediction tasks.
- Leadership and Extracurricular Achievements: Successfully led a 25-member team to organize “Rowdies,” a prominent four-day college event. Demonstrates strong leadership, organizational skills, and a proactive approach to team and project management, complementing technical expertise. Fluent in English and Hindi.