Armaan

Armaan Khan Tufail Portfolio | LinkedIn | Navi Mumbai, Maharashtra, India GitHub | Email:- | Mobile: - DATA ENGINEER | FULL STACK DEVELOPER | BUSINESS ANALYST Experienced Data Engineer currently working at LTI, specializing in building scalable data pipelines, ETL processes, and leveraging cloud technologies such as AWS and Snowflake. Proficient in MERN stack development with over 2 years of experience in building scalable web applications. Skilled in programming languages including Python, JavaScript (ES6+), SQL, and Java, along with data visualization tools like PowerBI and Tableau. Experienced in data analysis, extracting insights from complex datasets, developing predictive models, and translating business requirements into technical solutions. Passionate about using data-driven approaches to solve business challenges, drive decision-making, and enhance organizational efficiency. TECHNICAL SKILLS • Programming: JavaScript (ES6+), Python, SQL, Java, C++, Scala • Web Development: React.js, Next.js, Node.js, Express.js, Flask, HTML5, CSS3, Tailwind CSS • Databases: MongoDB, MySQL, Snowflake, PostgreSQL, RESTful APIs • Data Engineering: AWS (S3, EC2, RDS), Snowflake, Apache Spark, ETL Pipelines, Data Cleaning, Preprocessing, Data Analysis • Data Analysis: Excel, Power BI, Tableau, Pandas, NumPy, SQL (Data Extraction, Query Optimization) • AI & Machine Learning: Scikit-learn, NLTK, TensorFlow, Natural Language Processing (NLP), Document AI, Feature Engineering, Model Training and Evaluation, Predictive Analytics • Other: Data Structures, Algorithms, OOP, Git, GitHub, Docker, CI/CD PROFESSIONAL EXPERIENCE August 2024 – Present Navi Mumbai, India Data Engineer LTIMindtree • Developed and maintained scalable data pipelines, improving data flow efficiency by 25% • Utilized AWS and Snowflake for data warehousing, ensuring seamless integration and data management • Optimized ETL processes, reducing data processing times by 20% • • Collaborated with cross-functional teams to implement machine learning models, improving data-driven decision making Built interactive dashboards and data visualizations for key stakeholders using Python and Power BI React Developer Intern XZECT June 2024 – September 2024 Remote – Navi Mumbai, India • Developed two full-stack MERN applications, improving user engagement by 30% • Optimized performance with 40% faster load times and implemented efficient RESTful APIs Freelance Web Developer Self-employed • Built React-based Netflix and Amazon clones with dynamic content loading • Implemented responsive designs, increasing mobile engagement by 35% Freelance MERN Stack Developer Self-employed • Developed a Carbon Emission Tracking app using the MERN stack and D3.js • Optimized data management, reducing server response times by 30% April 2023 – May 2023 Remote – Navi Mumbai, India November 2023 – December 2023 Remote – Navi Mumbai, India PROJECTS Smart Voting System GitHub Live Demo • Revolutionized democratic processes with a secure e-voting platform using MERN stack and Python • Implemented multi-factor authentication: OTP verification via registered Aadhaar card and face recognition using CNN, enhancing security by 99% • Developed a verifiable ballot system and real-time result tracking, increasing transparency and trust in the voting process • Utilized Firebase for secure data storage and real-time updates, ensuring data integrity and instant result dissemination • Technologies Used: React, Node.js, Express.js, MongoDB, Python, Firebase GitHub Movie Recommendation System • Developed a content-based movie recommendation system, showcasing machine learning application skills • Preprocessed and conducted feature engineering on a large movie dataset, demonstrating data manipulation proficiency • Implemented cosine similarity algorithm to identify similar movies based on content features • Created a user-friendly web application using Flask, highlighting ability to translate analytical models into practical tools • Technologies Used: Python (Pandas, Scikit-learn), Flask, HTML/CSS GitHub Email and SMS Spam Classifier • Built a machine learning model to classify emails and SMS as spam or non-spam, demonstrating NLP skills • Conducted thorough data preprocessing, including text cleaning and feature extraction • Implemented and compared multiple classification algorithms to determine the most effective approach • Developed a web interface for real-time classification, showcasing ability to create user-friendly analytical tools • Technologies Used: Python (NLTK, Scikit-learn), Flask, HTML/CSS AI-Powered Document Assistant GitHub Built an intelligent document assistant to interact with and extract insights from PDFs, showcasing machine learning and NLP skills. • Implemented NLP techniques to allow users to upload PDFs and ask questions, receiving real-time responses • Developed a customizable table structure for storing and downloading extracted insights • Integrated real-time summary generation, reducing time spent on reading and analysis • Created a secure and private system, ensuring encryption of all uploaded documents • Technologies Used: Python (NLTK, Scikit-learn), Flask, HTML/CSS, JavaScript HavenSeek - Real Estate Marketplace using the MERN stack. GitHub A comprehensive real estate platform connecting buyers, sellers, and agents • Built a full-stack application enabling users to browse property listings, schedule visits, and communicate with agents • Implemented user authentication, property search filters, and interactive maps • Designed a scalable backend architecture to handle property data and user activities efficiently • Improved user experience with an intuitive, responsive UI for seamless navigation on all devices • Technologies Used: MongoDB, Express.js, React.js, Node.js, Google Maps API Data Upload and Snowflake Integration Dashboard Created a web-based UI for uploading data to Snowflake with functionality for data analysis, prediction, and report generation. • Designed a streamlined interface for users to upload large datasets and monitor progress in real time • Integrated Snowflake API to handle secure data storage and analysis on cloud infrastructure • Added functionalities for generating real-time visual reports and predictions based on uploaded data • Developed data processing scripts to automate feature extraction, ensuring accurate predictions • Technologies Used: React.js, Node.js, Snowflake API, Python (Pandas, Matplotlib), Flask BookQuote - Social Media App for Book Lovers GitHub Developed a social media platform for users to share and engage with book quotes using the MERN stack. • Created a full-stack app allowing users to post, like, and comment on favorite book quotes • Implemented user authentication, real-time updates, and a dynamic newsfeed for personalized content • Ensured a responsive design with mobile-first features for an optimal user experience across devices • Focused on scalable architecture, enabling smooth interaction for a growing user base • Technologies Used: MongoDB, Express.js, React.js, Node.js, Firebase Authentication EDUCATION Bachelor of Engineering in Computer Science and Data Science Mumbai University - Saraswati College of Engineering, Kharghar 2020 – 2024 CGPA: 7.5/10 Higher Secondary Certificate (HSC) - Science (PCMB) Maharashtra State Board - BK Patil Jr College 2020 Percentage: 68.46% Secondary School Certificate (SSC) Maharashtra State Board - National Urdu High School 2018 Percentage: 84.80% CERTIfiCATIONS & ACHIEVEMENTS Completed 10+ projects in Advanced React and MERN Stack, demonstrating practical expertise in full-stack development Earned Full-Stack Web Development with React Specialization certification, validating comprehensive skills in modern web technologies Solved 50+ coding challenges on LeetCode, focusing on Data Structures and Algorithms, and SQL, showcasing problem-solving prowess