Hello!

I'm Sonu Kumar Kushwaha



Data Scientist

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Name: Sonu Kumar Kushwaha

Job Role: Data Scientist

Collage student: 3rd year

Address: Lucknow, India

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 80%

About

About Me

This is Sonu Kumar Kushwaha, 3rd year engineering student from computer science and engineering proficient in data science which involves data structure and algorithms with C++ programming, machine learning,deep learning, statistics, computer vision, NLP and Artificial intelligence.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, BFSI & Digital Marketing
  • Education: Bachelor of Engineering
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI, Looker & Tableau
  • Other Skills: Cloud, PySpark, Excel, Git, JIRA, Google Analytics & SEO
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

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Resume

Resume

Data Science & Analyst with experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.

Experience


1 August 2023 to 1 september 2023

Data Science Intern

Oasis Infobyte

Oasis Infobyte, a leading CXM and media company with over 10K+ professionals globally. It's a part of Dentsu International.

  • I 'll experiment with various machine learning algorithms suitable for classification tasks, such as: Logistic Regression Decision Trees Random Forest Support Vector Machines (SVM) By training and evaluating these models, you'll determine the one with the highest accuracy in predicting survival outcomes..
  • Developed time series forecasting models to predict sales and optimize marketing budgets, got model performance of 92%.
  • Designed and executed A/B tests, performed rigorous statistical analysis. Led to 20% MoM increase in the conversion rate.

5 Sept 2023 to 10 Oct 2023

Data Science Intern

Codsoft

Codsoft is a data-driven digital marketing analytics and solutions company, helps top 100 global brands.

  • You'll experiment with various machine learning algorithms suitable for classification tasks, such as: Logistic Regression Decision Trees Random Forest Support Vector Machines (SVM) By training and evaluating these models, you'll determine the one with the highest accuracy in predicting survival outcomes..
  • Delivered multiple training and mentorship sessions on Data Science tools like ML, DL,SQL, MS Excel, Power BI, Tableau and Python.
  • Performed migration and enhancements for merchandising dashboard, involved data integration and its feature improvement.



Education


2021-2025

Bachelor of Engineering

Babu Banarasi Das University

Grade: First class distinction.

2019-2021

Higher Secondary School

Central Academy Senior Secondary School

Grade: First class distinction.

Download CV

Projects

Projects

Below are the sample Data Science projects on Python, Deep learning, Visualization, statistics & ML.

Iris flower classification ML project Data Science

This project delves into the world of Machine Learning through the classic Iris flower classification task. You'll explore the fundamental concepts of data exploration, model training, and evaluation using a well-known dataset..

UNEMPLOYMENT ANALYSIS Data science project

This data science project tackles the critical issue of unemployment, aiming to analyze trends, patterns, and factors influencing unemployment rates. Through data exploration, visualization, and potentially predictive modeling, you'll gain insights into this complex economic indicator..

Sales_Prediction Data Science Project

This data science project equips you to leverage historical sales data to predict future sales trends. By building and evaluating a predictive model, you'll gain insights into customer behavior and inform strategic business decisions for boosting sales..


TITANIC_SURVIAL_PREDICTION Data Science Project

The objective is to train a machine learning model that can accurately predict whether a passenger would have survived the Titanic disaster based on historical information. This data includes factors like: Passenger Class (1st, 2nd, 3rd) Age Sex Sibling/Spouse Aboard Cabin Class Fare Paid

.

Stock Market Prediction using Stacked LSTM

The objective is to build a more sophisticated model that can capture complex temporal dependencies in historical stock price data. Stacked LSTMs excel at learning these long-term relationships, potentially leading to improved stock price prediction accuracy

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More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Lucknow, India

Contact Number

+916388735208

Email Address

sonukushwahanipt@gmail.com

Download Resume

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