Data R&D • Cyclist • Dev.py
[m] Zaid
[a] Learner more obsessed with "what if" than "how to" — ideas first, code (eventually).>_ aboutMe_
This is my digital footprint — welcome!
i'm a curious soul who loves figuring things out and diving deep into stuff that makes me go "whoa!" – especially when it comes to AI, soft dev, and data science.
i’ve been building and breaking things in code ever since I graduated in 2022, clocking in over 4 years of hands-on dev experience whether it’s a fun side project or a tricky problem, i’m always down to explore, experiment, and share what i discovered.
when i’m not glued to my screen, you’ll probably find me trekking through trails, diving into research, or experimenting with ideas with my assistant Mr GPT.
>_ myProjects_
Air Quality and Pollution Assessment ↗
Developed a machine learning model to predict air quality levels using environmental and demographic data. Achieved 90% accuracy with a Random Forest classifier after analyzing 5,000+ samples and performing extensive feature engineering. Evaluated additional models including Gradient Boosting (GBM) and Support Vector Machines (SVM) to support environmental monitoring and public health planning.
TrendSnap - Podcast Viral Clip Extractor
An intelligent script that identifies and extracts the most engaging 1-minute clips from podcast videos using audio energy, sentiment analysis, and scene detection. Built with MoviePy, OpenCV, Librosa, NLTK, and more, it computes a virality score for each clip and exports the top ones for use on platforms like Instagram Reels, TikTok, and YouTube Shorts.
2029 Lok Sabha Election Prediction ↗
Built a machine learning pipeline to predict popular vote % and seats won for major Indian parties like BJP, INC, and AAP in the upcoming elections. Using historical election data, trained Random Forest and XGBoost models with achieving an average error of ±2.1% in vote share and ±4 seats.
Face Detection API ↗
Developed a face detection tool using the YOLOv11s model to identify and extract faces from images and videos. The system allows users to clip video segments between specific timestamps, automatically highlighting faces in each frame. Also includes an image detection module that annotates faces and returns bounding box coordinates
>_ myExperience_
Business & Revenue Analyst – Smartivity Labs
New Delhi · Contractual · March - May 2025
Conducted in-depth market research for STEM toys, analyzed packaging performance metrics
(CTR, conversion, returns), and proposed design optimizations. Mapped concept selection
processes and suggested a standardized research framework.
AI Python R&D – Cynapto Technologies
Remote · Freelance · April – May 2025
Built and deployed Flask-based REST APIs for image uploads and facial recognition.
Integrated a PyTorch inference pipeline for real-time face detection and feature extraction.
Associate Software Engineer – Techademy (IIHT)
Bengaluru · Full-time · June 2023 – April 2024
Enhanced the Techademy LMS platform by optimizing key features and improving user
experience. Worked collaboratively across teams to deliver scalable improvements.