Siddharth Sharma Email & Phone Number

London, Gb

Noida, Uttar Pradesh, India

Noida, Uttar Pradesh, India

Lucknow, Uttar Pradesh, India

1 - Founded the startup that connected customers with local vendors, offering them the convenience of shopping from a wide selection of products from multiple vendors online and receiving orders within 24 hours, helping vendors increase their sales and reach2 - Built a responsive e-commerce website using Python, Django, AWS, jQuery, SQL, HTML/CSS with average traffic of 3000+ users/month3 - Analyzed market trends & sales history to increase vendor sales by 30% by boosting vendors outreach & better inventory management4 - Implemented a personalized recommendation system using collaborative filtering, NLP, and deep learning in Python which recommended products based on customer views and purchase history, resulting in a 35% increase in customer retention.5 - Executed all aspects of business development from market research and finance to operations, sales, and marketing6 - Devised the final pitch deck for the company’s sales team leading to the incorporation of 40+ local vendors

Trivandrum

1 - Saved 200+ man-hours/week by designing a deep learning model (Accuracy: 94%) for the classification of service-center-related handwritten documents2 - Developed an advanced tool for demand forecasting using an ensemble of machine learning algorithms, which resulted in a 30% improvement in accuracy and contributed to millions of dollars in savings in its first quarter of implementation.3 - Constructed a convolution neural network (CNN) to detect damages in a car and predict repair costs using customer video, achieving 90% accuracy and 5% average error. Created model in Python using Keras, OpenCV & and TensorFlow and integrated it into a web application4 - Pioneered a novel computer vision algorithm to calculate object depth from 2D images for autonomous vehicle technology. This was achieved by aligning cameras along a principal axis.5 - Developed an algorithm using regression analysis and decision trees to analyze data on past car models and make accurate predictions about the dimensions of upcoming car models in a segment

Kolkata, West Bengal, India

1 - Deployed NLP and machine learning-based chatbot for customer service for a well-established clothing brand, resulting in a 30% reduction in inquiries and 87% accuracy with 2 seconds response time using Python libraries including NLTK, spaCy, and TensorFlow2 - Developed software to convert PDF files to DOCX using Python and PyPDF2/Docx libraries, handling various formatting and encoding issues with techniques like regular expressions and OCR. Packaged software as a command-line tool and library

Master'S Degree, Business (Accounting And Finance), Merit

Bachelor Of Technology - Btech, Computer Science, 7.79 Cgpa

Isc, Science(Mathematics), 94.5%