Akash Sharma
Delhi
Summary
Results-driven Data Science Associate at Axtria with expertise in Machine Learning and Data Engineering. Successfully designed RAG pipelines, enhancing information retrieval efficiency by 40%. Proficient in Python and skilled in collaborative problem-solving, I excel at transforming complex data into actionable insights, driving impactful business decisions.
Overview
7
7
years of professional experience
Work History
Data Science Associate
Axtria
Noida
01.2022 - Current
- Designed and deployed RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge retrieval.
- Explored Fine-tuning of Large Language Models (LLMs) for healthcare-specific use cases.
- Built agentic AI systems integrating APIs and tools, automating multi-step workflows and reducing manual effort by 35%.
- Developed AI-powered chatbots and document processing systems, cutting report generation time by 50%.
- Applied prompt engineering and evaluation frameworks, reducing hallucinations and improving response accuracy.
- Performed advanced analytics on healthcare datasets (IQVIA, McKesson, SHS, Xponent), driving actionable insights for business decisions.
- Built ML models and clustering solutions for segmentation, improving targeting efficiency by 20%.
- Developed scalable data pipelines and feature engineering workflows using SQL and PySpark for large datasets.
- Created interactive dashboards and automated reporting systems to track KPIs and performance.
Software Developer
Deeplogictech Pvt Ltd
Delhi
06.2019 - 09.2020
- Developed and maintained backend services using Node.js, handling middleware integrations for clients including University of Toronto and GTAA (Canada Airport).
- Built and integrated RESTful APIs, enabling seamless communication between frontend applications and backend systems.
- Created and managed APIs using IBM API Connect, ensuring secure, scalable, and well-documented endpoints.
- Worked on middleware orchestration using IBM DataPower, handling routing, transformation, and security of enterprise APIs.
- Developed and supported frontend components using React.js, improving user interaction and system usability.
- Monitored and maintained cloud infrastructure on AWS, ensuring high availability and performance of applications.
- Implemented API security, authentication, and error handling mechanisms to improve system reliability.
Education
B.tech - Computer Science & Engineering
Maharaja Agrasen Institute of technology
Delhi08-2019
Senior Secondary -
Arunodaya Public School
Delhi05-2014
Higher Secondary -
Arunodaya Public School
Delhi05-2012
Skills
Machine Learning & Data Science
- Supervised & Unsupervised Learning (Clustering, Classification, Regression)
- Statistical Modeling, Feature Engineering, Model Evaluation
- Generative AI & LLMs
Retrieval-Augmented Generation
- Prompt Engineering, Fine-tuning, Evaluation Frameworks
- LangChain, OpenAI APIs, Hugging Face
- Libraries: Scikit-learn, TensorFlow, Pandas, NumPy
Data Engineering
- ETL Pipelines, Data Processing, Data Transformation
- Data Modeling and Pipeline Optimization
Programming Languages
- Python, SQL, R, JavaScript (Nodejs)
- AWS (EC2, S3, Lambda), Databricks
- API Development & Deployment, Monitoring & Logging
Databases & Storage
- PostgreSQL, MongoDB
- Vector Databases: FAISS, Pinecone
- Backend: Nodejs, REST APIs
Accomplishments
- SNAP, 2021, 99.58 Percentile, Shortlisted for SIBM Pune and SCMHRD.
- XAT, 2020, 96 Percentile, Shortlisted for XLRI Jamshedpur.
- CAT, 2022, 97 Percentile, Shortlisted for IIM Jammu and IIM Bodhgaya.
Languages
- SQL, Full Professional Proficiency
- PYTHON, Full Professional Proficiency
- C++, Professional Working Proficiency
- PYSPARK, Full Professional Proficiency
- JAVA, Limited Working Proficiency
Hobbies and Interests
- FITNESS
- Problem Solving and Analytics
- Coding
Projects
Aakrithi, Full fledged E commerce App., Payment Integration, On the go order tracker., Speed Detection and Challan Generation, In Top 5 in Smart India Hackathon(2017) Nagpur organised by Govt of India., Developed a system for detection of vehicle speed upto 95% accuracy and generate challan on the go and send to the registered mobile number of vehicle owner.
Timeline
Data Science Associate
Axtria
01.2022 - Current
Software Developer
Deeplogictech Pvt Ltd
06.2019 - 09.2020
B.tech - Computer Science & Engineering
Maharaja Agrasen Institute of technology
Senior Secondary -
Arunodaya Public School
Higher Secondary -
Arunodaya Public School