B.E. in Electronics & Computer Science (2023 β 2027) β’ Mumbai, India
"Curious by nature, careful by habit. It began with wiring physical sensors and realizing that every blinking light was really just raw data waiting to be understood. Today, I clean messy datasets, extract predictive signals, train robust machine learning models, and uncover the human decisions hiding behind every chart."
Candidate : Ujjwal Suneel Tiwari (@Knight6azer)
Current Focus : Data Science, Predictive Modeling, Machine Learning & Applied AI
Education : B.E. in Electronics & Computer Science, SLRTCE, Mumbai (2023 - 2027)
Availability : Open to Data Science / Machine Learning / Data Analyst Internships & Roles
Core Expertise : EDA & Feature Engineering | Predictive Modeling | NLP & Transformers | Telemetry Analytics
Quantified ROI : 30K+ records modeled | 12+ end-to-end repositories | 3 completed industry internships
Philosophy : "I help data tell its story, one model at a time."|
Records & 500+ Datasets Cleaned, visualized, and modeled with Pandas, NumPy, Scikit-Learn & SQL at Edunet Foundation |
Applied AI/ML Solutions Production-ready repos spanning Business Intelligence, NLP, Predictive Healthcare & AgroTech |
Workflow Efficiency Engineered automated Python data pipelines and data ingestion tools at Pyverse |
Hardware Error Margin Circuit debugging and sensor telemetry validation during IoT prototype cycles at Circuit Wizard |
π Business Intelligence & Predictive Analytics (Vyaapaar)Domain: Unified enterprise analytics platform synthesizing transactional data, customer lifetime metrics, and dynamic KPI dashboards for data-driven strategic forecasting. π Impact: Automated cross-variable exploratory analysis β’ Multi-dimensional customer segmentation |
π§οΈ Acid Rain Predictive Analytics Pipeline (Edunet)Domain: Applied machine learning algorithms to historical rainfall chemistry, atmospheric ion concentrations, and meteorological telemetry to forecast precipitation pH fluctuations across India. π Impact: 30,000+ records modeled β’ Scikit-Learn regression ( |
π©Ί CareFlow AI β Multilingual Patient IntelligenceDomain: Multilingual clinical intelligence platform leveraging PaddleOCR for automated laboratory report analysis, biomarker risk computation, and patient symptom triage. π Impact: Automated CBC blood test parsing β’ Bi-directional multilingual medical reasoning |
πΎ Krishi Kaar (Agri-IoT & Precision ML)Domain: Distributed agricultural telemetry network feeding real-time soil and ambient sensor inputs into machine learning models to provide precision crop advisories and market insights. π Impact: Full edge-to-web telemetry bridge β’ Multivariate crop recommendation models |
π° TruthLens β Advanced AI Fake News DetectorDomain: Dual-model NLP classification engine assessing journalistic authenticity and rhetorical bias with predictive confidence scores and explainable linguistic highlighting. π Impact: Text preprocessing & TF-IDF vectorization β’ Binary classification with probabilistic scoring |
π§ Bandhu β Multimodal Wellbeing RecommenderDomain: Empathetic AI recommendation model evaluating text mood indicators and mental wellness patterns to deliver customized emotional support pathways and restorative activities. π Impact: Multimodal feature fusion β’ Sentiment classification & mood trajectory evaluation |
ποΈ Edith AI & CRM Voice AgentDomain: Built during the Technivium Hackathon (as Team Lead), delivering voice-driven command execution, automated customer interaction parsing, and structured data logging. π Impact: Led team of 4 β’ Voice-to-action pipeline with OpenAI APIs |
π₯ MediCore β Clinical Health AnalyticsDomain: Comprehensive clinic management and analytics platform enabling symptom triage, medical appointment tracking, and real-time clinical metric dashboards. π Impact: Structured clinical records datastore β’ Interactive administrative dashboard |
π View Additional Engineering & Systems Projects (Click to expand)
- Smart Home Security System: Embedded physical security apparatus combining PIR, ultrasonic, and optical sensors with an ESP32 microcontroller to fire sub-second Telegram dispatch alerts (C++, Arduino, ESP32, Telegram Bot API).
- Schedule & Task Orchestrator: Relational task management and productivity engine with user session authentication and ACID-compliant relational schemas (Flask, SQLite, REST Architecture).
- Vegetable Vendor Order Engine: Retail commerce transaction ledger handling dynamic pricing, live cart aggregation, and atomic JSON datastore persistence (Streamlit, Python, POS Analytics).
- Environmental Time-Series Analytics (Archived): Historical telemetry acquisition model applying moving averages and scatter plots to environmental sensor feeds (Arduino, Python, Pandas, Matplotlib).
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π DATA ANALYSIS INTERN Jan 2026 β May 2026 β
β Edunet Foundation β
β β’ Collected, cleaned, preprocessed, and modeled 50+ datasets (~300,000+ records). β
β β’ Engineered robust data transformation pipelines using Python (Pandas, NumPy) and SQL. β
β β’ Built predictive machine learning models and exploratory dashboards in Matplotlib/ β
β Seaborn, converting raw variables into actionable business and environmental insights. β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β π PYTHON DEVELOPMENT INTERN Nov 2025 β Dec 2025 β
β Pyverse β
β β’ Engineered automated task execution scripts and backend logic in core Python. β
β β’ Improved operational task efficiency by 20% through automated data manipulation tools. β
β β’ Designed structured data architectures utilizing lightweight JSON-based serialization. β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β π EMBEDDED SYSTEMS INTERN Oct 2025 β Nov 2025 β
β Circuit Wizard β
β β’ Designed and simulated IoT microcontroller architectures in TinkerCad and Wokwi. β
β β’ Validated circuit telemetry and signal logic, cutting prototype error rates by 15%. β
β β’ Bridged edge hardware sensor outputs with downstream data processing scripts. β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
- Media Co-Head, R&D Cell (SLRTCE) (2024 β Present): Led technical media strategy across 10+ departmental events, leveraging data-backed outreach campaigns to amplify participant engagement and visibility by 10%.
- Team Leader β Edith AI Agent Buildathon (Technivium, SLRTCE) (Jan 2026): Guided a cross-functional team of 4 to design, build, and pitch a voice-automated enterprise conversational agent under competitive sprint conditions.
- Hackathon Participant & Lead Builder (2024 β 2026): Competed in regional technical challenges (including TechBlitz 2026), orchestrating AI/ML pipelines and shipping functional MVPs within strict timeframes.
- Pyverse Add-On Program Certification (Dept. of IT, SLRTCE) (Jul 2025): Recognized for excellence in Python application architecture, data manipulation, and software design principles.
π§ Machine Learning & Artificial Intelligence
|
π» Software Engineering, Data & Management
|
"Have a dataset with a story to tell? Let's talk."
Actively seeking Data Scientist, Machine Learning Engineer, and Data Analyst opportunities, internships, and high-impact research collaborations.
$ knight6azer --model="Data Scientist" --status="Ready to deploy insights" [PROCESS EXITED WITH 0]

