Hi, I’m Mohit an Associate Data Scientist at ADQ Services with a Master of Science in Life Science and a specialization in Molecular Medicine, I am a dynamic and driven individual with a passion for both biology and computers.
I have a keen interest in combining these two fields to unlock new insights and solve complex problems. With experience in python, statistics, EDA, machine learning, deep learning, NLP, biology, time series, and Power BI, I bring a diverse skillset to any project.
My background includes a one-year research project at my university, where I honed my skills in data analysis, visualization, and interpretation. I thrive on solving challenging problems and working collaboratively with others to achieve shared goals. My ultimate career aspiration is to become an expert in the field of bioinformatics and use my skills to make a meaningful impact in the world.
If you are looking for a data scientist with a background in biology and a passion for data science and biology, please feel free to connect with me. I am always interested in learning about new opportunities and collaborating with like-minded professionals.
Data Science Bootcamp, 2022
Odin School
Master in Life Science spl Molecular Medicine, 2017
Central University of Punjab
BSc in Medical, 2015
Kurukshetra University :: Kurukshetra
Random forest is performing better as compare to linner regression. r2 score is too less for making prediction G1 and G2 high correlated with Target - using any one one them lead to increase in beterment of model.
In today’s competitive world if we make choice easier and fast its going to help both customer and business.
Perform Exploratory data analysis on a given dataset.
Using various visualization tools for univariate, bivariate and multivariate analysis.
Finding various pattern distributions of sales varies with part of day, year, month or region.
Help to improve business decision making power.
Feature selection and feature engineering to mould dataset suitable for prediction.
Diabetes is currently one of the biggest lifestyle issues in the world. This approach can become a tool for empowerment for the patient and the clinician. Perform exploratory data analysis on a given data set.