Data Science & Artificial intelligence:
Supervised/Unsupervised Learning, Deep learning, Predictive modelling, Time series Forecasting, NLP, Transfer Learning. Experience in model development, optimization and training pipeline for classification, regression, clustering and sequence use cases, Computer Vision, Image Processing
Large Language Models (LLMs) & Al Agents:
Prompt Engineering, OpenAI/GPT fine-tuning, Conversational AI, Autonomous Agents (LangChain, Auto-GPT, Agentic Workflows), RAG Study and Document QA Systems. Use cases for Summarization/Code Generation/chatbots and custom AI pipelines
Data Analytics & Visualization:
Excel (Pivot Tables, VLOOKUP, Power Query, Matplotlib Seaborn, Stream lit). Skilled in turning complex data into actionable insights around performance measurements and reporting
Data Engineering & ETL:
ETL/ELT pipelines, process optimization, data cleaning/ wrangling, schema design and data quality assurance
Technologies:
Snowflake, Oracle DB, MySQL, PostgreSQL, XAMPP
Cloud Deployment:
Azure, AWS, GCP, SharePoint. Model checkout, cloud data processing, distributed storage. GPU acceleration
NLP & Text Analytics:
Text preprocessing, Sentiment analysis, NER, Topic modeling, TF-IDF and embeddings (Word2Vec/BERT) for chatbots, emotion detection and summarization
Tools & Platforms:
Anaconda, Jupyter, PyCharm, Colab, Eclipse, Arduino IDE, GitHub, Figma, StarUML
Web & App Development:
HTML, CSS, Java, JavaScript (basic), Power Apps. Built and deployed interactive dashboards, business apps, and clientfacing web applications
Business Intelligence & CRM Tools:
Salesforce CRM, Power BI, Tableau for KPI dashboards, CRM integration, and behavior analysis
Soft Skills & Competencies:
Analytical thinking, problem solving, agile teamwork, stakeholder communication, presentation, documentation, Research & Innovation and translating complex insights into actionable business strategies
Work Experience:
05/2019 - 06/2019:
Place of Work: Bengaluru, India
Role: Intern
Customer: BEPEC Solutions May
Tasks:
Training hands-on with building web-based ML applications and use the Random Forest algorithm for Predictive Analytics. Deployed modules to predict data driven predictions and visualized analytics results in python
01/2019 - 04/2019:
Place of Work: Hyderabad, India
Role: Programmer Analyst Trainee Intern
Customr: Cognizant
Tasks:
Full Stack Developer intern, building web applications from scratch using Waterfall and Agile methodologies. Hand on experience with front end and back end development in addition to the software development lifecycle processes
05/2017 - 06/2017:
Place of Work: Hyderabad, India
Role: Intern
Customer: Golars
Tasks:
IoT device security (and a lot more cool stuff), modules development, encryption, predictive analysis visualization. Built web applications, such as a personal homepage, to improve basic web development skills
Data Science & Artificial intelligence:
Supervised/Unsupervised Learning, Deep learning, Predictive modelling, Time series Forecasting, NLP, Transfer Learning. Experience in model development, optimization and training pipeline for classification, regression, clustering and sequence use cases, Computer Vision, Image Processing
Large Language Models (LLMs) & Al Agents:
Prompt Engineering, OpenAI/GPT fine-tuning, Conversational AI, Autonomous Agents (LangChain, Auto-GPT, Agentic Workflows), RAG Study and Document QA Systems. Use cases for Summarization/Code Generation/chatbots and custom AI pipelines
Data Analytics & Visualization:
Excel (Pivot Tables, VLOOKUP, Power Query, Matplotlib Seaborn, Stream lit). Skilled in turning complex data into actionable insights around performance measurements and reporting
Data Engineering & ETL:
ETL/ELT pipelines, process optimization, data cleaning/ wrangling, schema design and data quality assurance
Technologies:
Snowflake, Oracle DB, MySQL, PostgreSQL, XAMPP
Cloud Deployment:
Azure, AWS, GCP, SharePoint. Model checkout, cloud data processing, distributed storage. GPU acceleration
NLP & Text Analytics:
Text preprocessing, Sentiment analysis, NER, Topic modeling, TF-IDF and embeddings (Word2Vec/BERT) for chatbots, emotion detection and summarization
Tools & Platforms:
Anaconda, Jupyter, PyCharm, Colab, Eclipse, Arduino IDE, GitHub, Figma, StarUML
Web & App Development:
HTML, CSS, Java, JavaScript (basic), Power Apps. Built and deployed interactive dashboards, business apps, and clientfacing web applications
Business Intelligence & CRM Tools:
Salesforce CRM, Power BI, Tableau for KPI dashboards, CRM integration, and behavior analysis
Soft Skills & Competencies:
Analytical thinking, problem solving, agile teamwork, stakeholder communication, presentation, documentation, Research & Innovation and translating complex insights into actionable business strategies
Work Experience:
05/2019 - 06/2019:
Place of Work: Bengaluru, India
Role: Intern
Customer: BEPEC Solutions May
Tasks:
Training hands-on with building web-based ML applications and use the Random Forest algorithm for Predictive Analytics. Deployed modules to predict data driven predictions and visualized analytics results in python
01/2019 - 04/2019:
Place of Work: Hyderabad, India
Role: Programmer Analyst Trainee Intern
Customr: Cognizant
Tasks:
Full Stack Developer intern, building web applications from scratch using Waterfall and Agile methodologies. Hand on experience with front end and back end development in addition to the software development lifecycle processes
05/2017 - 06/2017:
Place of Work: Hyderabad, India
Role: Intern
Customer: Golars
Tasks:
IoT device security (and a lot more cool stuff), modules development, encryption, predictive analysis visualization. Built web applications, such as a personal homepage, to improve basic web development skills