Akshay Kumar

Product Manager

Bengaluru, Karnataka, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Python and data analytics tools.
Experience in developing AI solutions for healthcare.
Strong background in data visualization and dashboarding.

Stackforce AI infers this person is a Data Analyst with a focus on AI and healthcare solutions.

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Skills

Core Skills

PythonBackend DevelopmentData AnalysisAi Development

Other Skills

Business InsightsCommunicationData IntegrityData ManipulationData MiningData ModelingData ModelsData VisualizationDatabase QueriesExtract, Transform, Load (ETL)FAISSFastAPIFireCrawlFlaskGoogle BigQuery

About

fifth-year data science student with a concentration in analytics and data. actively looking for ways to use my knowledge and abilities in practical settings. eager to make a difference in the field of data analytics and contribute to data-driven decision-making Tools and Technologies I work with, -Power BI -Python -MySQL -Excel My Functional Areas -Data visualization -Dashboarding -Data Cleaning -Data Modelling

Experience

2 yrs

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Eq-rev

Product Management Intern

Nov 2025 – Present · 7 mos · Coimbatore, Tamil Nadu, India · On-site

Coimbatore institute of technology

Placement Coordinator

Jun 2025 – Present · 1 yr · Coimbatore, Tamil Nadu, India · On-site

Placement Coordinator for the M.Sc. Integrated Data Science program (2021 - 2026) at Coimbatore Institute of Technology (CIT).

Satyukt analytics

Python developer intern

Jul 2024 – Nov 2024 · 4 mos · Bangalore Urban, Karnataka, India · On-site

Migrated existing Flask APIs to FastAPI, resulting in 80% faster performance.
Reduced customer waiting time, improving user experience on both website and app.
Enhanced backend scalability and code maintainability for future development.

PythonFastAPIFlaskBackend Development

Novintix

Data Analyst Intern

Mar 2024 – May 2024 · 2 mos · Coimbatore, Tamil Nadu, India · Remote

Built an AI-powered internal Q&A assistant using Streamlit, Langchain, FAISS, and LLaMA 3-70B to streamline information access across complex medical instruction manuals.
Enabled instant query resolution by processing URLs, documents (PDFs, DOCX, HTML, etc.), and images, converting them into searchable embeddings for accurate, context-aware answers.
Reduced manual search time by over 50%, improving operational efficiency and empowering teams with faster decision-making in critical healthcare documentation scenarios.

StreamlitLangChainFAISSLLaMAData AnalysisAI Development