Nanda Kishor M Pai
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 @ Providence India
Results-driven Data Scientist with proven expertise in machine learning, deep learning, and NLP. Skilled in developing end-to-end AI solutions across healthcare, marketing, and computer vision domains. Proficient in Python, R, SQL, PyTorch, and advanced data engineering with Snowflake. Combining technical excellence in predictive modeling, LLM applications, and data visualization with strong business acumen to consistently deliver measurable impact. Passionate about transforming complex data challenges into actionable intelligence that drives strategic decision-making.
College of Engineering Trivandrum
Bachelor of Technology - BTech, computer science and engineering
January 1, 2019 – January 1, 2023
St.Sebastians Higher Secondary School - India
Higher Secondary, Computer Science
January 1, 2017 – January 1, 2019
Providence India
Data Scientist
June 20, 2026 – Present
AI-Article-Tag-Genertor-t5-small
February 20, 2023 – February 21, 2023
AI-Article-Tag-Genertor-t5-small — GitHub repository
View ProjectSCL-2022-BitSlashers
June 20, 2022 – August 26, 2022
SCL-2022-BitSlashers — GitHub repository
View ProjectDogeship
February 19, 2022 – March 9, 2022
A project to predict the price of Doge cryptocurrency of any date based on previous data
View ProjectPlant_Disease_Detector
May 28, 2021 – November 18, 2022
AI powered plant disease detection and assistance platform currently available as an App and API.
View Projectmanglish_lyrics_generator
May 16, 2021 – December 27, 2022
TinkerHub Build From Home || ML track
View Projectevent-progress-tracker
October 4, 2020 – October 16, 2020
Trying to make a live leaderboard of participants in an event which i am organizing
View Projectkeam-score-calculator
August 16, 2020 – August 31, 2020
I am trying to make a flask web app that helps organisers of college fests with no coding background to make a website for their fest and use it publicly for competition score displays and news regarding the fest
View ProjectKTU-Notifier
August 12, 2020 – November 6, 2023
An NLP based Telegram Bot that pushes KTU Announcements Notifications
View ProjectDP900 : Azure Data Fundamentals
Microsoft
June 25, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
Coursera
June 25, 2026 – Present
Natural Language Processing in TensorFlow
Coursera
June 25, 2026 – Present
Deep Learning Specialization
Coursera
June 25, 2026 – Present
Programming, Data Structures and Algorithms Using Python
NPTEL
June 25, 2026 – Present
Object-Oriented Data Structures in C++
Coursera
June 25, 2026 – Present
Problem Solving (Intermediate)
HackerRank
June 25, 2026 – Present
Google AI | Explore ML - Beginner Session at B-Hub
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to data science, machine learning, and web development. This indicates a self-starter who is passionate about applying technical skills. The diversity of projects, from plant disease detection to cryptocurrency prediction and NLP bots, suggests a broad interest in different applications of AI/ML. However, the lack of team projects or detailed descriptions of collaboration makes it challenging to fully assess cultural fit in a team-oriented environment. The target role of 'Data Scientist' aligns well with the candidate's demonstrated project focus and certifications.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration or problem-solving approach. The focus on personal projects suggests initiative and self-direction. Operational fit is hard to determine without more detailed project outcomes or team involvement.