Full Stack Data Science Consultant | AI Engineer | MLOPS | AI Trainer
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Full Stack Data Scientist | AI & Machine Learning Enthusiast Passionate data scientist with expertise in AI, machine learning, deep learning, and data analytics. Proficient in Python, R, SQL, and frameworks like TensorFlow, Scikit-Learn, and OpenCV. Experienced in predictive modeling, NLP, and computer vision, with hands-on experience in deploying AI solutions. Published researcher with a strong academic background (MCA) and a track record of developing high-accuracy models. Committed to continuous learning and problem-solving in AI-driven innovations.
DOMS, Graphic Era (Deemed to be) University
Master of Computer Applications - MCA, Artificial Intelligence
September 1, 2022 – September 1, 2024
Hemvati Nandan Bahuguna Garhwal University (HNBGU)
Bsc, Information Technology
January 1, 2016 – January 1, 2019
THDC Institute of Hydropower Engineering & Technology
Assistant Professor (Guest Faculty)
March 1, 2025 – June 1, 2025
On-site
Freelance | Self-Employed
Full Stack Data Science Consultant | Trainer
December 1, 2022 – Present
Dehradun · Remote
iNeuron.ai
Full stack Data Scientist
January 1, 2021 – September 1, 2022
Bengaluru, Karnataka, India · Hybrid
Career Break
Gap year
October 1, 2020 – December 1, 2021
Uttarakhand
DexLab Analytics
Data Scientist / Data Analytics
September 1, 2019 – September 1, 2020
Gurugram, Haryana, India · On-site
Scholar
Data Entry Specialist
July 1, 2016 – August 1, 2019
Dehradun, Uttarakhand, India · On-site
Sn Export Lp
Supervisor
July 1, 2015 – February 1, 2016
Dehradun, Uttarakhand, India · On-site
Sentimental Analysis
May 1, 2021 – May 1, 2021
Our data consists of 50000 comments. There are 25000 negative and 25000 positive comments. Comments are of different lengths and are given in sentences. Using the IMDB dataset, we will train our LSTM model with positive and negative comments about movies. First, we will make comments available for the LSTM model. After training our model, we will examine the accuracy and loss values on the chart.
malaria_prediction
February 1, 2021 – March 1, 2021
This Dataset is taken from the official NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ And uploaded here, so anybody trying to start working with this dataset can get started immediately, as to download the dataset from the NIH website is quite slow. Photo by Егор Камелев on Unsplash
Image recognition
February 1, 2021 – February 1, 2021
Image recognition from stratch
Churn_prediction
December 1, 2020 – December 1, 2020
This model help companies to predict whether the customer is leave there company or not in a month. This model accuracy is 71% but I don't work on Accuracy. This model main motive is to check the customer is leave or not in a month, So I focussed on how much my model predict correctly those people who leaves so company focused on those people. For this task my model done perfect it detect 290 customers out of 372 who actually leave the company.
Diabetes Prediction
September 1, 2020 – September 1, 2020
This project is to help doctors to analyze the cause of diabetes by different factors.
MLP_Regression
June 1, 2020 – June 1, 2020
Skills: Pandas (Software) · Statistical Modeling · Git
Used_Car_Price
March 1, 2020 – March 1, 2020
The goal of this model is to help customers to find the price of Used_car In India.
Online News Popularity
February 1, 2020 – February 1, 2020
The goal is to predict the number of shares in social networks (popularity).
Iris-Species-prediction
December 1, 2019 – December 1, 2019
It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.
Understanding Research Methods
University of London, SOAS University of London
June 23, 2026 – Present
Introduction to Generative AI
June 23, 2026 – Present
Python
HackerRank
June 23, 2026 – Present
Deep Learning Essentials with Keras
Coursera
June 23, 2026 – Present
Artificial Intelligence Engineer
Coursera (IBM)
June 23, 2026 – Present
Data Science, Machine Learning and AI using Python
DexLab Analytics
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, including teaching, consulting, and various data science roles, suggests adaptability. The personal projects cover a broad range of machine learning applications, indicating a proactive learning attitude. The career break description highlights personal growth and resilience. However, the target role is 'Computer Vision', and while there's exposure to OpenCV, the depth of experience specifically in advanced computer vision techniques is not clearly demonstrated through projects or detailed job descriptions. The focus seems more generalized towards data science and machine learning.
Soft Skills & Operational Fit
The candidate's experience as an Assistant Professor and Consultant suggests strong communication and teaching skills. The description of the career break indicates resilience and self-discovery. The project descriptions, while brief, show an understanding of problem statements and desired outcomes. The role as a supervisor also points to leadership and time management abilities. However, the lack of detailed project descriptions and specific outcomes makes it difficult to fully assess operational fit beyond general data science roles.