Prashanth Pidamarthi
Hyderabad
Summary
Over a decade of experience in data analytics and data science, with expertise in machine learning, predictive analytics, stakeholder engagement, SOP development, and project management. Proven track record in leveraging large language models (LLM) and agentic AI to drive innovative solutions and enhance decision-making processes. Skilled in translating complex data insights into actionable strategies that align with organizational goals. Committed to fostering collaborative environments that empower teams to excel in dynamic and challenging settings.
Overview
11
11
years of professional experience
Work History
Senior Data Scientist
LTM
07.2025 - Current
- Developed multi-level sales forecasting models Built predictive models at cluster, customer, and monthly levels to improve accuracy and granularity of demand forecasting.
- Designed monitoring frameworks to track model performance and conducted root cause analysis (RCA) for deviations in forecasts.
- Compared multiple predictive approaches and selected the best-performing models each quarter based on accuracy metrics.
- Delivered actionable insights from forecasting outputs, supporting strategic planning and operational efficiency across sales functions.
- Designed condition-based conversion agent using LangGraph Built an intelligent agent leveraging LangGraph to handle conditional logic for code translation across different environments.
- Enabled seamless replication of source code into target environments, reducing manual intervention and improving consistency.
- Conducted checks to ensure converted code met established standards and maintained functional correctness in the new environment.
- Developed modular design allowing the agent to support multiple programming languages and frameworks, ensuring scalability and flexibility.
Senior Expert Data Scientist
Novartis Health Care Pvt Ltd
02.2020 - 07.2025
- Acting as a key team member in planning, design, development and Prod deployment of the highly impactful study on culture across various demographic and geographical cuts leading to identification leading and lagging indicators of culture and able to provide culture improvement plan accordingly.
- Acting as a key team member in planning, design and development of a study which examines how work hours, leaves, and talent movements affect site-level employees' Wellbeing.
- Acting as a key team member in planning, design and development of a study on Gender Balance within Operations
- What are leading and lagging indicators that act as EARLY WARNING indicators for associate’s “burn out”. Involved in creating the design and building state of the art for Novartis. Understand Female and Male work patterns based on their viva insights. Historical hiring patterns and how it is impacted by the nature of the job. Turnover patterns: How long Female associates are being with the system and understand various leaves type study. Talent movement: Impact study of Promotions on Female associates. -Female in Leadership vs Associates. Patterns identification in historically.
- This POC is to identify suitable candidate resumes based on JD by employing text classification models, specifically BERT (Bidirectional Encoder Representations from Transformers) and Large Language Models (LLMs) and comparing their performance. We aim to develop a system that can accurately match candidate resumes to job descriptions, ensuring that the most relevant candidates are identified efficiently.
- Lead Generalized Equity Assessment linked to EPIC pledge to analyze bias indicators beyond Pay across the Employee Life Cycle.
Junior Data Scientist
Algo Leap Technologies Pvt Ltd
08.2017 - 01.2020
- Predicting outpatient flow to optimize staffing and reduce wait times using Python, R, and R-Shiny. Involves data manipulation, time series modelling, and automation.
- Predicting product sales to advise inventory levels using Python, R, and R-Shiny. Includes data collection, EDA, model fitting, and dashboard updates.
- Extracting financial statements and performing predictive analysis using Python, NLP, and R-Shiny. Involves automated data extraction, validation, and time series forecasting.
Junior Data Scientist
Page Solutions Pvt Ltd
11.2017 - 07.2018
- My role involves performing predictive analytics, delivering the outcomes through visualizations and dashboards, and ensuring that the insights are actionable and impactful for decision-making. I collaborate with cross-functional teams to gather data, analyze trends, and develop predictive models that drive business strategies.
Trainer
KOSMIK TECHNOLOGIES
01.2016 - 10.2016
- Plan, prepare and research lessons. Conduct Classes. Develop and deliver programs of learning activities. Prepare teaching/course materials. Instruct users on an individual or group basis. Apply R technology to deliver courses and improve the learning experience of users.
Junior Statistician
STAMPEDE CAPITAL PRIVATE Ltd
08.2015 - 12.2015
- Performing data extraction, filtering, and manipulation from databases. Generating and updating reports, creating macros, and developing daily trading graphs. Utilizing Excel macros for data visualization and forecasting in currency trading.
Education
M.Sc. - Applied Statistics
Osmania University
04-2015
Skills
- Machine learning
- Predictive modeling
- Data visualization
- Statistical analysis
- Natural language processing
- Agile methodologies
- Time series analysis
- Python programming
- R programming
- GenAI
- Azure services
- Shiny, Flask for Application Development
Timeline
Senior Data Scientist
LTM
07.2025 - Current
Senior Expert Data Scientist
Novartis Health Care Pvt Ltd
02.2020 - 07.2025
Junior Data Scientist
Page Solutions Pvt Ltd
11.2017 - 07.2018
Junior Data Scientist
Algo Leap Technologies Pvt Ltd
08.2017 - 01.2020
Trainer
KOSMIK TECHNOLOGIES
01.2016 - 10.2016
Junior Statistician
STAMPEDE CAPITAL PRIVATE Ltd
08.2015 - 12.2015
M.Sc. - Applied Statistics
Osmania University