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Hi there!👋
I am Kartik Mohan:man_technologist:

I'm a graduate student pursuing MS in Data Science at Northeastern University on the journey to become a Data Scientist.

Jumping straight into the dataset and exploring various visualizations 📊 and correlations 📈 in search of patterns often takes me back to my childhood memory of digging through a pile of Legos 🧱.

Data Science has not only satiated my penchant for exploration but also served the acute analytic skill. My interest in this field has only ameliorated over the years, and it urged me to pursue advanced studies 🎓 in this field.

Data Science is evolving rapidly because of the increasing demand of data around the world 🌎. It very well may be the pivot point on which the entire economy 💲 turns.

I wish to help business houses 🏢 to recognize their presence in the markets and making apt decisions 📝.

I am happy to network and collaborate 🤝.

Have a great day 😃.

📫 Reach me at: Linkedin , Github

Programming languages, Tools and Frameworks:

Jupyter Notebook Git

Data Analysis and Visualization Projects:

🩺 PubMed Analysis in SQL and R

🦅 Bird Strike Analysis in SQL

🔍 Analyze Media Database in SQL

💼 Analysis of Data Analyst Job Listings in R

❤️ Exploratory Data Analysis On Haberman Dataset

💀 Suicide Rate Analysis

🛒 Mart Sales-Profit Analysis in Tableau

🚗 NYC Motor Collision Analysis


Machine Learning Projects:

🎵 Music Genre Classification and Recommendation System

💊 Medical Insurance Cost Prediction

💡 Time Series Analysis and Forecasting of Household Power Consumption

☣️ Covid19 Sentiment Analysis

📷 Image Classification on CIFAR10


Kartik Mohan's Projects

contraviz icon contraviz

An end-to-end webapp for real-time data analytics on COVID-19 to gain insights into the COVID19 trends and to identify the sentiment of people towards the vaccination drive across the globe.

eda-on-haberman-dataset icon eda-on-haberman-dataset

Univariate, Multivariate and Descriptive Analysis to predict whether a patient will survive 5 years or more after the operation based on age, year of operation and the number of positive axillary nodes.

health_insurance_cost_prediction icon health_insurance_cost_prediction

Exploratory Data Analysis on the Medical Health Insurance dataset to determine the contributing factors and predict the health insurance cost using regression models.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

py icon py

Repository to store sample python programs for python learning

suicide-case-analysis icon suicide-case-analysis

Analyzing suicide rates can provide valuable insights into underlying factors, trends, and patterns, helping identify vulnerable populations and potential risk factors.

virgilio icon virgilio

Your new Mentor for Data Science E-Learning.

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