Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Hi, I’m

Sameer Kumar Panda

Hyderabad
Sameer Kumar Panda

Summary

Results-driven AI/ML Engineer with extensive experience in developing scalable, production-ready solutions that enhance business performance. Expertise in time-series forecasting, LLM-based automation, and comprehensive ML pipelines utilizing Python, TensorFlow, LangChain, and Azure. Proficient in transforming complex data into actionable insights, optimizing forecasting accuracy, automating workflows, and facilitating informed decision-making. Committed to ethical AI practices and fostering stakeholder collaboration to deliver tangible value through innovative intelligent systems.

Overview

3
years of professional experience

Work History

TIGER ANALYTICS

Senior Data Analyst(Data Science)
01.2025 - Current

Job overview

  • Led the development of time-series forecasting solutions for a CPG client using TiDE, SARIMAX, Prophet, XGBoost, DeepAR, and LSTM, improving KPI forecasting accuracy by 30–90% across strategic supply chain and retail planning use cases — enabling data-driven decision-making at scale.
  • Built ensemble models with robust feature engineering (lags, seasonality, external regressors), increasing forecast resilience and operational accuracy, aligning with Tesco’s focus on standardisation and agility.
  • Developed Retrieval-Augmented Generation (RAG) agents using LangGraph + LangChain to generate automated time-series insights, reducing manual analysis time by 80% and significantly increasing ML adoption across business teams.
  • Leveraged OpenAI LLMs for customer sentiment analysis, auto-classifying feedback, extracting pros/cons, and generating actionable recommendations—integrated directly into feedback loops to drive proactive business decisions.
  • Delivered AI assistants for healthcare and job automation using FastAPI, Redis, VectorDBs, and deployed cloud-native pipelines using AzureML Studio, Docker, and GitHub Actions
  • Integrated CI/CD (GitHub Actions) and Docker on Azure, ensuring scalable, automated ML deployments — for sustainable, standardized, and reliable solutions.
  • Created executive-facing insights via Python dashboards and PPT-based recommendation decks, empowering non-technical stakeholders to make timely, informed decisions— for visualization empowerment.
  • Scoped analytical solutions in close collaboration with stakeholders, translating business objectives into modular, production-grade ML pipelines
  • Contributed to reusable GitHub assets and internal wikis, fostering a culture of continuous improvement, collaborative innovation, and knowledge sharing

Tiger Analytics

Data Analyst(Data Science)
10.2023 - 01.2025

Job overview

  • Worked with one of the leading CPG clients across 3 countries to build a Trade Promotion Optimization (TPO) solution using Lasso Regression, enabling identification of high-impact promotions while reducing overfitting and improving ROI analysis.
  • Conducted feature selection and regularization to isolate the most influential variables affecting sales uplift, directly improving marketing budget allocation decisions.
  • Integrated Azure Cloud services to enhance scalability and performance of client-facing models and analytics dashboards.
  • Performed major code refactoring and logic optimization, improving data pipeline efficiency by 70% and ensuring compliance with client-specific requirements.
  • Delivered new functionalities based on evolving business needs, expanding existing tool capabilities and increasing client adoption by 32%.
  • Designed and implemented a robust CI/CD pipeline to automate model testing and deployment, reducing manual validation effort and improving release speed and reliability.


POLYNOMIAL.AI

SDE INTERN
02.2023 - 07.2023

Job overview

  • Engineered a Real-Time Audio-to-Text Pipeline, reducing latency by 90%, enabling data-driven decision making in time-sensitive environments through modularized and codified algorithms deployed using FastAPI & AWS Lambda.
  • Enhanced an Entity Extraction Model for business documents, improving processing speed by 92% using TensorFlow and Python, leveraging continuous improvement principles to build reusable components documented on internal wikis and GitHub.
  • Developed a Recommendation Engine for automated invoice and POS data processing, reducing workforce dependency by 32%, and improving operational efficiency and cost savings — directly supporting Tesco’s goal of simplifying services for customers and colleagues.
  • Improved AI Bot Efficiency by 82% for automated property description generation, enhancing natural language processing capabilities for internal document generation and customer interactions.

Education

IIIT BHUBANESWAR
Bhubaneswar, Odisha

B.Tech from INFORMATION TECHNOLOGY
08.2023

University Overview

Final Grade: 7.82/10

D.B.M.S ENGLISH SCHOOL
Jamshedpur, Jharkhand

ISC 12TH BOARD
03.2019

University Overview

GPA: 84.6%

D.B.M.S ENGLISH SCHOOL
Jamshedpur, Jharkhand

ICSE 10TH BOARD
03.2017

University Overview

GPA: 90.6%

Skills

  • Python
  • SQL
  • C
  • Java
  • PySpark
  • MongoDB
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Hugging Face Transformers
  • LangChain
  • LangGraph
  • Pydantic
  • FastAPI
  • Flask
  • Django
  • Azure ML Studio
  • Docker
  • GitHub
  • GitHub Actions
  • CI/CD
  • Linux
  • System Design
  • Cloud-Native ML Deployments
  • ETL Pipelines
  • Data Preprocessing
  • Feature Engineering
  • Time-Series Modeling
  • TiDE
  • SARIMAX
  • Prophet
  • DeepAR
  • LSTM
  • Recommendation Systems
  • Forecasting Algorithms
  • Model Deployment at Scale
  • LLM Fine-Tuning
  • Prompt Engineering
  • RAG
  • Agentic Workflows
  • Sentiment Analysis
  • Text Classification
  • NLP for Customer Insights
  • Redis
  • Vector Databases
  • FAISS
  • Weaviate
  • Matplotlib
  • Seaborn
  • Plotly
  • Tableau
  • Power BI
  • PowerPoint Reporting
  • Internal Wiki

Accomplishments

Accomplishments
  • 5-star - Tiger Analytics MLE Program (All milestones cleared).
  • 144th/8K - CodeChef Short Challenge.
  • 1585th/34K - Facebook Hackercup (Round 2).
  • 1996th & 2448th - Google Kickstart (Round F & B).
  • 63rd/25K - CodeChef Snackdown
  • 1213th/40K - CodeChef Snackdown Qualifier.
  • LeetCode: 3.5 stars, 1000+ problems solved, 10 consistency badges.

Timeline

Senior Data Analyst(Data Science)
TIGER ANALYTICS
01.2025 - Current
Data Analyst(Data Science)
Tiger Analytics
10.2023 - 01.2025
SDE INTERN
POLYNOMIAL.AI
02.2023 - 07.2023
IIIT BHUBANESWAR
B.Tech from INFORMATION TECHNOLOGY
D.B.M.S ENGLISH SCHOOL
ISC 12TH BOARD
D.B.M.S ENGLISH SCHOOL
ICSE 10TH BOARD

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