Anshuman Gaikwad
Data Scientist Data ScientistAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with less than a year in Generative AI & Data Analytics.
I am Anshuman Gaikwad, a dedicated and enthusiastic undergraduate B.Tech student at Sanjivani University, currently pursuing a degree in technology. With a strong foundation in coding, data engineering, and data analytics, I am skilled in designing and managing data solutions, and deriving valuable insights from complex datasets. My academic background and hands-on experience have honed my problem-solving skills, analytical thinking, and attention to detail. Passionate about technology and data-driven innovation.
Sanjivani University
B. Tech · Artificial Intelligence and Data Science
October 1, 2024 – Present
MIT Rotegaon
Diploma · Computer Engineering
January 1, 2021 – January 1, 2024
SmartBridge & SmartInternz
Google Cloud Generative AI
June 1, 2025 – July 1, 2025
Hyderābād, Telangana, India
Design and Development of Iot based Smart Blind Stick
June 20, 2026 – Present
Developed an IoT-based Smart Blind Stick using ESP32, ultrasonic sensor, buzzer, push buttons, and PCB board to provide early obstacle detection and multi-sensory alerts for visually impaired users. Integrated Flutter mobile application, Firebase, Twilio calling feature, and Arduino IDE to create a user-friendly, lightweight, and smart assistive navigation system that enhances mobility and independence.
Study Swap - A Campus Market Place
June 20, 2026 – Present
Developed "Study Swap – A Campus Marketplace" to provide affordable stationery and study material solutions for students while reducing waste through reuse and exchange of items. Promoted sustainability practices, student collaboration, and easy accessibility of academic resources through a simple and user-friendly campus marketplace platform.
Uber Rides Data Analysis - Python (Data Analytics)
June 20, 2026 – Present
Performed data cleaning and exploratory data analysis (EDA) on Uber ride datasets using Python to identify trends, patterns, and improve data quality. Created visualizations and analytical insights that enhanced understanding of ride behavior, reduced data noise, and improved reporting clarity.
Python Voice Assistant
June 20, 2026 – Present
Developed a Python-based Voice Assistant capable of performing 15+ automated tasks such as opening applications, searching information, and executing voice commands. Improved user interaction efficiency and reduced manual operations by integrating speech recognition, voice response, and smart automation features.
Build & Deploy Apps with Google Ai studio & Multilingual Ai Speech App with Vibe Coding
Unknown
March 1, 2026 – Present
Predictive Modeling with IBM SPSS modeler
IBM
November 1, 2025 – Present
Learning Analytics Tools
NPTEL
July 1, 2025 – Present
DevOps Fundamentals
IBM
January 1, 2024 – Present
Cloud Fundamentals
IBM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a blend of academic and practical applications, including socially impactful projects (Smart Blind Stick, Study Swap) and data analysis tasks. This diversity indicates a broad interest and potential to contribute to various initiatives. The target role of 'Data Scientist' aligns well with the candidate's education in AI and Data Science, and skills in data analysis, visualization, and predictive modeling. The certifications and internship in Generative AI further enhance the fit for an evolving data science landscape. The candidate's academic background and project work suggest a proactive and learning-oriented mindset, which is a good cultural fit for dynamic technical teams.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills, analytical thinking, and attention to detail through project descriptions. The academic projects suggest an ability to work on diverse tasks and integrate various technologies. The internship experience indicates a willingness to learn and adapt to new technologies like Generative AI and cloud computing. Participation in co-curricular activities like SIH and INNOSPHERE suggests a collaborative and competitive spirit, which can be beneficial for team environments.