Data Scientist - AI - Resume Example & Template

Resume of Data Scientist - AI in Text Format

Abhijeet Sharma

Phone: 9953776253 | Email: info@getsetresumes.com| LinkedIn: linkedin.com/company/getsetresumes

DATA SCIENTIST – ARTIFICIAL INTELLIGENCE - leveraging 4+ years of experience

A results-driven Data Scientist with strong expertise in designing AI models, building scalable machine learning solutions, and developing Proof-of-Concepts (POCs) for enterprise environments. Skilled in Python, TensorFlow, PyTorch, and cloud-based data pipelines with hands-on experience in predictive modelling, data engineering, and Generative AI applications. Adept at collaborating with cross-functional teams, translating business requirements into analytical frameworks, and delivering high-impact AI solutions. Passionate about continuous learning, innovation, and applying advanced AI techniques to solve real-world business challenges.

PROFILE SUMMARY

• Proficient in developing predictive, prescriptive, and statistical models using Python, TensorFlow, PyTorch, Scikit-Learn, and Hugging Face libraries.
• Skilled in building scalable data pipelines, performing data cleansing, feature engineering, and integrating large datasets using Python and PySpark.
• Experienced in developing POCs to validate AI solutions, including GenAI-based code generation, code refactoring, and code translation (COBOL → Java).
• Adept at implementing machine learning techniques for trend prediction, anomaly detection, customer behavior modeling, and NLP-based automation.
• §Strong understanding of cloud environments (AWS, IBM Cloud) for model deployment, orchestration, and automation.
• Experienced in writing modular, reusable code and documenting architecture, design decisions, best practices, and technical specifications.
• Strong communicator with the ability to break down complex analytical insights for technical and non-technical stakeholders.
• Demonstrated ability to work in agile environments while collaborating with scientists, engineers, consultants, and product teams.
• Technical Skills: Python, PyTorch, TensorFlow, Scikit-Learn, Cloud Platforms (AWS, IBM Cloud), NLP, Text Classification, Code Refactoring AI

CORE COMPETENCIES

•  Machine Learning & Deep Learning
• Data Cleansing & Feature Engineering
• Generative AI & LLM-Based Solutions
• POC Development
• Predictive Analytics
• Rapid Prototyping
• Agile Collaboration
• Data Visualisation & Interpretation
• Technical Documentation

PROFESSIONAL EXPERIENCE

AIML Innovations Pvt. Ltd., Bengaluru | May 2021 – Present

Data Scientist – Artificial Intelligence

• Design and deploy predictive ML models to forecast customer behaviour, increasing accuracy across business units.
• Build deep learning models using TensorFlow and PyTorch for image classification, NLP tasks, and anomaly detection.
• Lead development of POCs, including GenAI-driven code translators that refactor and rewrite legacy COBOL code into Java using LLMs.
• Construct data pipelines using Python and PySpark to cleanse, preprocess, and integrate datasets of over 50M records for real-time analytics.
• Collaborate with software engineers and product consultants to operationalize ML solutions on cloud platforms such as AWS and IBM Cloud.
• Conduct data visualization, exploratory analysis, and feature selection to improve model performance.
• Document solution architectures, modelling approaches, and best practices for internal knowledge bases and client-facing whitepapers.
• Work with clients to understand business needs, define model requirements, and deploy analytical solutions.
• Apply statistical techniques to evaluate model performance, identify errors, and communicate insights to the team.

INTERNSHIPS

TechVerse Analytics, Pune | Jan 2021 – Apr 2021

Data Science Intern

• Assisted in building regression and classification models for financial data analysis.
• Performed data cleaning, feature engineering, and exploratory data analysis using Python and Pandas.
• Contributed to a POC that used NLP to extract insights from unstructured text.
• Supported documentation activities including model summaries and performance reports.

ACADEMIC CREDENTIALS

EDUCATION:

B.Tech in Computer Science & Engineering

Aryabhatta Institute of Technology, Pune | 2017 – 2021

COURSES

• Deep Learning Specialization – Coursera (2021)
• Applied Data Science with Python – IBM SkillsBuild (2022)
• Generative AI & LLM Engineering – Udemy (2023)
• PySpark for Big Data Processing – Udemy (2022)

EXTRA-CURRICULAR ACTIVITIES

• Volunteered as AI mentor for student hackathons focusing on predictive analytics and NLP.
• Participated in Kaggle competitions related to fraud detection and text classification.
• Contributed to open-source projects on GitHub involving ML model optimization and dataset preprocessing.
• Conducted workshops on “Introduction to Machine Learning with Python” at local community events

PERSONAL DOSSIER

Languages Known: English, Hindi