Tulasi
Hyderabad, Telangana, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Jupyter Notebooks, LLMs/ChatGPT, MySQL, NumPy, pandas, Problem Solving, Python, PyTorch, Redis, scikit-learn, Tableau
Previously worked at: Fortune 500
Assessment Score: 50
- Educational Background
Graduated with a Bachelor’s degree in Computer Science Engineering from Amrita School of Engineering, Bangalore, achieving a CGPA of 8.5. - Technical Skills
Skilled in programming languages such as C, Python, Java, SQL, Shell Bash, and Scala. Proficient in using data engineering and analytics tools including Redis, Dagster, Kubernetes, Spark, Hive, Tableau, and Superset. - Professional Experience
Currently serving as a Senior Associate Data Scientist at the National Payments Corporation of India, where key responsibilities include developing fraud detection algorithms, designing machine learning models, and optimizing transaction monitoring systems. - Key Projects and Contributions
Developed innovative fraud detection models using recursive clustering algorithms, Autoencoders, and Graph Neural Networks to analyze large-scale UPI transaction data. Designed and implemented an open-source GPT-based chatbot for fraud data insights. - Awards and Achievements
Recognized as the company’s annual top performer with the “SHINING STAR AWARD 2023-24” and the “WIZARD” badge in the coding contest. Also received the “WELL DONE” award in 2023 for contributions to reducing fraud in UPI transactions. - Publications
Published a paper titled “Detection of IoT Botnet Using Recurrent Neural Network” in Intelligent Data Communication Technologies and Internet of Things (Springer Nature, Singapore, 2022).