| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Street Address
EMAIL AVAILABLE (347) 420 - 9388 https://LINKEDIN LINK AVAILABLE https://Candidate's Name .netlify.app PROFESSIONAL SUMMARYAI Engineer with over 3 years of experience, dedicated to data-driven insights to optimize business decision-making and specialized in developing and deploying advanced machine learning models. Successfully collaborated with cross-functional teams to tackle complex challenges and deliver measurable impact, such as optimized models resulting in a 15% revenue boost. EDUCATIONYeshiva University, Katz School of Health and Sciences New York, NY Aug 2023 - Jan 2025 Masters of Science in Artificial Intelligence GPA - 3.6/4 Coursework: Deep Learning, Natural Language Processing (NLP), Large Language and Vision Models International Institute of Information Technology Bangalore, India Aug 2021 - Aug 2022 Executive Post Graduate Diploma in Data Science GPA - 3.2/4 Lovely Professional University Jalandhar, India Aug 2017 - Aug 2021 Bachelors of Technology in Information Technology and Computer Science GPA - 7.3/10 EXPERIENCEData Scientist Option Tools Noida, India Dec 2022 - Aug 2023 Discovered emerging market trends through research to build financial models and perform stock market analysis by leveraging Python libraries, and SQL database, resulting in a 17% increase in accuracy that drives informed decision-making and strategic growth. Employed statistical analysis, data visualization, and predictive models to inform targeted marketing strategies with customer segmentation analysis based on demographic and behavioral characteristics, leading to a gain of over 100K+ monthly active users. Leveraged advanced analytics and interactive dashboards using Tableau to optimize investment strategies for customers, improving portfolio performance by 5% and 40% boost in product adoption through business analysis & data-centric approaches. Software Engineer Capgemini India (Walt Disney Client) Mumbai, India Dec 2020 - Dec 2022 Directed the development and deployment of innovative features for the biometric system and automation of audit reports, integrating with an intuitive interface. This strategic enhancement resulted in a remarkable 63% increase in user satisfaction metrics. Developed a comprehensive filtered framework for system logs, mitigating vulnerabilities in credit card transactions. This initiative yielded a notable 7.5% reduction in transaction failures, improving payment processing and ticket issuance procedures. Collaborated closely with clients to refine and optimize both the online ticketing interface and camera monitoring application, integrating cloud computing capabilities to address 20+ intricate business challenges. Applied sophisticated pattern recognition algorithms to enhance system functionality, showcasing adaptability to their unique work culture. Data Analyst Intern Iconseair Management Solutions Moradabad, India July 2020 - Sept 2020 Applied data analysis techniques, including regression and trend forecasting, to examine data. Employing creative analytical skills resulted in the identification of 10+ significant trends and anomalies, enhancing financial decision-making in accounting data. Negotiated client contracts, resulting in a 15% increase in sales through effective communication skills and relationship-building skills. Streamlined operations using tools like MS Excel, MySQL, and Zoho Books in accounts, auditing, and tax consultancy. PROJECTSVisual Question Answering: Leveraging PyTorch and fine-tuning pre-trained LLM models, such as LLaVA, and transformers to develop image understanding and robust image description systems using GPU dedicated to advancing state-of-the-art AI technologies. Product Reviews Sentiment Analysis: Utilized NLP techniques, including preprocessing and feature extraction, alongside machine learning models like Vader and Roberta for precise sentiment classification of Amazon product reviews. E-commerce Marketplace: Developed a business-ready e-commerce website using React.js, Next.js, TailwindCSS, Stripe/PhonePe payment integration, Cloudinary, and data visualization tools in the admin dashboard for streamlined management and analytics. Try It! Cow Stall Number: Implemented a high-accuracy PyTorch-based convolutional neural network (CNN) and ResNet-101 transfer learning model for precise multiclass image classification in medical analysis. Research Link Fraud Detection in HealthCare: Leveraged ML techniques, PCA for dimensionality reduction, and KNN for classification purposes, to enhance fraud detection and provide valuable insights into exceptional data patterns with potential business impact. SKILLS & CERTIFICATIONSProgramming: R, Python (NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn, PyTorch, Langchain, Hugging Face, Computer Vision), React, Flask, AB Testing, MySQL, NoSQL, MongoDB, Rest API, Generative AI, Cassandra, Statistics Modeling, Node, Full-Stack, SDLC Tools: Tableau, Power BI, Google Analytics, MS Excel, Business Analytics, AWS, Splunk, Jira, Git, Github, Streamlit, SAS, Agile Algorithms: LLM, Naive Bayes, Random Forest, K-Means, KNN, ANN, CNN, XGBoost, AdaBoost, Decision Trees, LLaVa, LLaMa Certifications: Loreal Brandstorm Recognition, Capgemini Appreciation Certificate, Star Performer Advanced Java, Iconseair Director Recommendation, Google Advanced Data Analytics Professional, Deep Learning Specialization, Machine Learning Stanford |
