
Senior Analyst @ LatentView (AI CoE) | Kaggle Top 2% | Generative AI, RAG, Agentic AI | AWS Certified | 4+ YOE in ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analysing-Air-Quality-Index-using-Machine-Learning
November 2, 2023 – April 23, 2025
Analysing-Air-Quality-Index-using-Machine-Learning — GitHub repository
View ProjectMy-Kaggle-notebooks
November 20, 2022 – August 18, 2023
This repo contains Jupyter Notebooks (with PDFs) of datasets that I performed EDA. Please refer to PDF versions instead of ipynb because in ipynb, output charts are blank (for plotly library, but for matplotlib & seaborn this issue isn't there). But, if you want to download & edit the notebook, you can refer to ipynb version.
View ProjectMachine-Learning-Algorithms
October 11, 2020 – October 11, 2020
Contains code + explanation of ML Algorithms
View ProjectThe-Matplotlib-Cookbook
October 6, 2020 – October 6, 2020
This Jupyter notebook is a summary of my learnings. I have learnt matplotlib from various sources. In this notebook, I have tried to explain how things work in matplotlib using my own examples. I hope you will like it :) For those who already know matplotlib, you can use this as a reference notebook!
View ProjectMy-CodeChef-Solutions
April 14, 2020 – August 28, 2020
Contains my solutions for Codechef competitions
View ProjectfindingMaxOfArray-Divide-And-Conquer
March 19, 2020 – March 20, 2020
I've written a code to find maximum of an array using divide and conquer approach in O(N) time complexity.
View ProjectAttendanceCalculator-Predictor
March 19, 2020 – March 19, 2020
Tells you how many more classes you need to attend to get x% (desired %) of attendance. ( Very useful thing for engineers :D )
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-directed learning and exploration in machine learning and data science. The diversity of personal projects, from air quality analysis to competitive programming, suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative engineering environment. The target role 'Generative AI Engineer' aligns with the candidate's ML interests, but specific Generative AI experience is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or communication styles. No psychometric test results are available.