Jahnavi Kharva
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst| MTech in Data Science
Data Scientist | Analytics Enthusiast Passionate about deciphering the stories hidden within data, I am a Data Scientist with a strong foundation in data analysis and a knack for turning complex information into actionable insights. 🚀 Professional Background: With 6 months of hands-on experience as a Data Analyst intern, I've navigated through diverse datasets, uncovering trends and patterns that fuel data-driven decision-making. 💡 Key Skills: 📊 Data Analysis | 📈 Statistical Modeling | 💻 Python | 🤖 Machine Learning | 📉 Data Visualization 🌐 Why Connect: I thrive on challenges and am committed to leveraging my skills to drive innovation. Let's connect to explore the endless possibilities at the intersection of data and business. 🎓 Education: [Drs. Krishna and Pallavi Patel Global University], [Masters of Technology] 📜 Certification: Technology Experiential Learning Program Certificate, [Ottawa Education Group] Excited to connect with fellow professionals passionate about the transformative power of data!
BITS Edu Campus: BABARIA INSTITUTE
Master of Technology - MTech, Computer Engineering
January 1, 2021 – January 1, 2023
SVIT, Vasad Official
Bachelor of Engineering - BE, Computer Engineering
January 1, 2017 – January 1, 2021
Syensqo
Data Analyst
August 1, 2025 – Present
Cilans System
Data Science Intern
April 1, 2025 – May 1, 2025
Ahmedabad, Gujarat, India · On-site
eVitalRx
Back End Developer
November 1, 2024 – March 1, 2025
Ahmedabad, Gujarat, India · On-site
Bevey
Data Analyst
September 1, 2023 – November 1, 2023
Canada
Careervira
Data Analyst
April 1, 2023 – July 1, 2023
India · Remote
Multilingual Question Answering with RAG & LLMs on historical books
April 1, 2025 – Present
Developed a multilingual question-answering system using Retrieval-Augmented Generation (RAG) techniques to extract contextually relevant answers from classical Indian texts. The system leverages sentence-transformers, LLMs, and semantic similarity scoring to ensure high relevance and groundedness of responses. Key Highlights: Implemented document chunking, embedding generation, and vector-based retrieval Used LangChain and transformers to build the end-to-end RAG pipeline Evaluated responses on groundedness, relevance, and standalone quality Enabled support for Hindi, Gujarati, Sanskrit, and English Tools & Tech: Python, LangChain, Hugging Face Transformers, Pandas, Sentence-Transformers
OCR Data Extraction using Gemini API
March 1, 2025 – March 1, 2025
Built a smart OCR pipeline using Google’s Gemini API to extract structured and context-aware text from scanned documents, including complex tabular healthcare and business reports. The system is capable of multilingual understanding and advanced layout parsing. Key Highlights: Designed and tested prompt engineering strategies for accurate text extraction Parsed PDF documents with tabular structure and noisy formatting Evaluated performance using accuracy, layout preservation, and semantic context Output structured text in JSON format for downstream NLP processing Tools & Tech: Python, Gemini API, Prompt Engineering, PDFMiner, PyMuPDF
Sentiment Analysis on Twitter data
July 1, 2022 – July 1, 2023
Conducted a comprehensive study on sentiment analysis techniques and natural languageprocessing. Collected and preprocessed a large dataset of tweets related to ‘US Airline Sentiments’ and ‘Multi View Sentiment Analysis’. • Employed machine learning algorithms and techniques to perform sentiment classification. • Developed data visualizations to represent sentiment trends and patterns in the Twitter data. Presented findings and insights in a clear and concise manner, demonstrating the best algorithm for sentiment analysis. Received positive feedback from faculty and peers for the originality and rigor of the research.
Introduction to Generative AI
Amazon Web Services (AWS)
June 25, 2026 – Present
Preparing Data for Analysis with Microsoft Excel
Microsoft
June 25, 2026 – Present
Prompt Engineering for ChatGPT
Vanderbilt University
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI/ML topics, particularly Generative AI and NLP, which aligns well with an ML Engineer role. The variety of projects, from RAG systems to OCR and sentiment analysis, indicates a broad curiosity and ability to tackle different problem domains. The mix of personal projects and internships suggests self-motivation and a desire for practical application of skills. The target role of ML Engineer is well-supported by the candidate's recent focus on ML/AI projects and certifications, indicating a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning new technologies, evidenced by certifications in Generative AI and Prompt Engineering. Project descriptions indicate an ability to work on complex problems and present findings. The diverse internship experiences suggest adaptability and a willingness to collaborate, which are positive indicators for operational fit.