Feb 2024 – May 2024 · 3 mos · Bengaluru, Karnataka, India · Hybrid

Jul 2022 – Feb 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

• 📚 Graduated with a Bachelor of Technology from IIT Bombay in 2022. Passionate about
• leveraging cutting-edge technologies and frameworks to solve complex problems.
• 💼 Currently working as a Senior Data Scientist at HDFC Life, Bangalore, where I've spearheaded
• projects showcasing my expertise in Generative AI:
• ʣ Developed a Flask-powered StableBeluga Conversational AI Bot using the StableBeluga-13B
• language model. Implemented quantization techniques for optimal performance and
• conversation persistence for a more natural user experience.
• ʤ Created a Flask-based QnA bot, Document GPT, using Sentence Transformers and
• RecursiveCharacterTextSplitter for document embeddings. Collaborated with external services for
• text generation and embedding functionalities.
• ʥ Engineered a real-time Text Summarization Web Application using Transformers and Gradio,
• achieving high accuracy in text summarization and contributing to the field of natural language
• processing.
• ʦ Designed a Flask-based API for report analysis, integrating AWS Textract for PDF data
• extraction. Developed a PyTorch-based language model for generating concise summaries from
• user prompts.
• ʧ Led a project on Multi-Model Document Classification, achieving an exceptional 99.55%
• accuracy by fine-tuning and customizing model architecture.
• ʨ Spearheaded a project on Blood Pressure Prediction, utilizing a pre-trained model for facial
• video analysis and achieving precise SBP and DBP predictions.
• 🛠 Technical Skills: Python, Langchain, ChromaDB, OpenCV, AWS, Pandas, Numpy, Scikit Learn,
• Keras, Tensorflow, PostgreSQL, Spa-Cy, MatplotLib, Tesseract, SQL, Flask, Git, NLTK, Gensim.
• 🎓 Relevant Courses: Introduction to Large Language Models, Generative AI with LLM, Natural
• Language Processing, Machine Learning, Deep Learning, Introduction to Generative AI Studio,
• Computer Vision

Jan 2022 – Present · 4 yrs 4 mos · India · Remote

• I Graduated from IIT Bombay, currently working in a company, & my Profile is Artificial Intelligence/Data Scientist, and part-time I'm also delivering Concepts Related to AI/ML/DL on my YouTube channel with 1K Subscribers

Feb 2021 – May 2021 · 3 mos · Hyderabad, Telangana, India

•  Created a weather Chatbot with the Microsoft Azure platform, run and tested it on bot emulator, and implemented using Microsoft Luis
•  Deployed chatbot to azure cognitive services using a fundamental understanding of python, flask, QnA maker, intent & entities of Luis

Jan 2021 – Feb 2021 · 1 mo · Mumbai, Maharashtra, India

•  Awarded Certificates of Appreciation and Subject Expert Certificate for a project on ML entitled Credit Card Fraud Detection
•  Analyzed the datasets using correlation matrix, explored different preprocessing techniques like label encoding, feature scaling
•  Built 2 predictive models & achieved 99.92% accuracy with Decision Tree classifier & 99.93% with SVM using a Confusion matrix

Dec 2020 – Jan 2021 · 1 mo

•  Prospecting & Contacting: Client (Doctors) database (App Registrations) & Communication (Call/SMS/Email/WhatsApp)
•  Lead Qualification & Nurturing: Lead Conversion & Follow-ups and Sharing marketing information
•  Documentation: Database and Communication
•  Training: Sessions on BHealthy Product, Sales to Doctors, Mock calling and Documentation

Apr 2020 – Jun 2020 · 2 mos · Mumbai, Maharashtra, India

•  Worked as Trainee under the guidance of MS.Hemangi Bapat-Associated Vice President-Analytics & Stipend was 20k/mon

Mar 2020 – Apr 2020 · 1 mo · Mumbai, Maharashtra, India

• Course Project under Prof. Biplab Banerjee, Assistant Professor | CSRE | IIT Bombay, India
•  Worked on to differentiate Chest X-Ray Images between COVID-19 patient and Normal patient.
•  Learnt how to develop Neural Network from scratch & how to optimize Neural Network by Coursera online Course
•  Applied transfer learning and used pre-trained VGG-16 algorithm which is very highly efficient in image detection
•  I got 100% accuracy on training as well as test data. We must need this much accuracy to detect COVID-19 patients otherwise it might be
• dangerous and it will lead to spread of virus and prepared model will be useless

Nov 2019 – Dec 2019 · 1 mo · Varanasi, Uttar Pradesh, India

• SPEECH EMOTION RECOGNITION USING DEEP NETWORKS
• Project under Prof. Dr. Tanima Dutta, Assistant Professor | CSE | IIT (BHU) Varanasi, India
•  Learned to recognize emotions from speech using python libraries like soundfile to read the sound file & librosa library to extract
• features from it Using RAVDESS dataset for the experimentation in 5 weeks starting from 25th Nov’19 to 27th Dec’19.
•  I have done a thorough comparative analysis using Multi-layer Perceptron (MLP) classifier and Long Short- term Memory (LSTM). The
• experimental results show an accuracy above 80% using MLP classifier

Jun 2019 – Aug 2019 · 2 mos

•  Active member of the Internshala's Campus Ambassador Program as an Internshala Student Partner (ISP)
•  Promoted Internshala and its products successfully and showed genuine sincerity and willingness to
• learn while taking on new assignments and challenges

May 2019 – Apr 2020 · 11 mos · Mumbai, Maharashtra, India

• WEB SECRETARY | Chemical Engineering Association, IIT Bombay [June’19-May’20]
• Chemical Engineering Association is the student body of Chemical Department, IIT Bombay
•  Responsible for managing the website of Chemical Engineering Association (CHEA)
•  Managed the Blog page via WordPress and created HTML page with JavaScript
•  Was Part of the event handling like orientation, convocation, Photoshoot, etc with the team of council in whole tenure

Sep 2018 – May 2019 · 8 mos · Mumbai Area, India