Mohit Goswami

Mohit Goswami

Associate Data Scientist @ADQ Services

ADQ Servcies

Central University of Punjab

Biography

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.

Interests
  • Machine Learning
  • Artificial Intelligence
  • Information Retrieval
  • Anthropology
Education
  • 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

Skills

python
Python
Statistics
mysql
SQL
github
github
PowerBI
Power BI
tableau
Tabelu
office
MS Office
Matplotlib
Matplotlib
seaborn
Seaborn
Scikit_learn
Scikt Learn
linux
linux
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School Students Grades Prediction

School Students Grades Prediction

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.

Frequently Set of Items Bought Together

Frequently Set of Items Bought Together

  • 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.

Predicting Onset of Diabetes

Predicting Onset of Diabetes

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.

Inventory Analysis

Inventory Analysis

EDA on item in stock or non stock both

Accomplishments

Kaggle
Intro to Machine Learning
See certificate
Codecademy
BI Dashboards with Tableau Course
See certificate
Codecademy
SQL
See certificate
NDG Linux Unhatche
See certificate

Recent Posts

SQL
Growth Story of India!

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