Somashekar
Hyderabad, Telangana, India
Experience: 2 years
Open to: Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Jupyter Notebooks, NumPy, pandas, Power BI, Python, Python3, PyTorch, scikit-learn, TensorFlow, Unix
Previously worked at: IT Service Companies, US-based Companies
Assessment Score: 80
- Professional Experience
With 1 year of experience as a Data Analyst at Accenture, Somashekar Reddy Nakka has worked on enhancing PL/SQL scripts, managing teams for data validation automation, and reducing system response time by 25%. His role involved designing solutions for large-scale data analysis to drive strategic decisions and operational improvements. - Educational Background
Somashekar completed a B.Tech in Electronics and Communication Engineering from the National Institute of Technology, Delhi. He is currently pursuing a PGP in Data Science and Machine Learning from Intellipaat and MITx MicroMasters, with certifications in advanced machine learning and data analysis. - Technical Expertise
Proficient in Python, SQL, and machine learning tools and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and Flask. Skilled in exploratory data analysis using Pandas, NumPy, Matplotlib, and Seaborn, as well as in deploying data-driven solutions for enhanced decision-making. - Machine Learning and AI Projects
Led the development of a sales forecasting model using XGBoost and Prophet, achieving an R2 score of 0.85. Developed a movie recommendation system with TensorFlow and optimized it to achieve an MAE of 0.08. Built an AI-powered medical assistance chatbot using Llama2 and LangChain for medical queries. - Certifications and Specializations
Holds certifications in SQL, Python, and Data Science with a focus on machine learning. Currently pursuing a PGP in Data Science and Machine Learning and an Advanced Machine Learning Specialization from Coursera. - Key Achievements
Successfully implemented predictive models that optimized retail inventory management and sales forecasting. Played a crucial role in improving operational efficiency and ensuring database management by automating data validation and issue detection processes.