Name: Ramesh Gyawali

Job Role: Software Engineer

Experience: 2 Years 10 Months

Address: Butwal, Nepal

Skills

JAVA 80%
PYTHON 85%
Web Development 70%
Statistical Analysis 85%
Machine Learning 70%
Mathematics for ML & DL 85%

About

About Me

With over 2 years of comprehensive experience in the field of Software development, data science & analytics, accompanied by a B.Tech in Information Technology. Proficient in Software development, data analysis, statistical analysis, hypothesis testing, customer behaviour analysis, & machine learning. Demonstrated success in leading impactful projects and providing effective mentorship.

  • Profile: Data Science & Machine Learning
  • Domain: Machine Learning, Software Development & Data Engineering
  • Education: B.Tech in Information Technology
  • Languages: Python, Java, SQL
  • Mathematics: Algebra, Probability, Statistics, Calculus, Matrices.
  • Python Frameworks: Scikit-learn, Tensorflow, Keras, Cloud vision API, Pandas, Scipy, Numpy, Matplotlib, PyTorch, Flask
  • Deploy Tools: AWS beanstalk, AWS EC2, Git, Docker, Netlify, Cloud, PySpark, JIRA, Google Analytics & SEO;
  • Interest: Continuous Learning, Exploring, Problem-Solving, Story Telling

0 +   Projects completed

LinkedIn

Resume

Resume

Seasoned junior Software developer with 2+ years of experience driving business strategies through data-driven insights. Proven expertise in data science, Software Development, machine learning algorithms and project management.

Experience


2024-Present

Junior Data Scientist

CodeBasics

A leading software development company known for innovative solutions and client-focused approach.

  • Analysed ad campaigns, clickstream, and customer surveys data, identified an increasing demand and launched a strategic product line.
  • 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.

2023-2024

Data Science Intern

Code Clause

Crafting innovative software solutions to drive success in a changing world.

  • Building predictive models and algorithms using machine learning techniques, and evaluating their performance to optimize accuracy and effectiveness.
  • Delivered multiple training and mentorship sessions on SQL, MS Excel, Power BI, Python and Machine Learning.
  • Working closely with cross-functional teams to understand project requirements, sharing findings, and presenting actionable recommendations to stakeholders.



Education


2021-2025

B.Tech in Information Technology

Vel Tech University

Grade: First class distinction.

2018-2020

Higher Secondary School

Annapurna Model College

Grade: First class distinction.

Projects

Projects

Below are the sample Data Science projects on SQL, Python & ML.

ONSITE-HEALTH-DIAGNOSTIC-WEBAPP

Developed an Onsite Health Diagnostic Web App leveraging Machine Learning models to predict multiple health conditions including Diabetes, Heart Disease, and Parkinson's Disease.

Video Call Apps for Physical Disabilities

Designed and developed a user-friendly video call application tailored to the needs of individuals with physical disabilities, promoting inclusive communication and accessibility.

Personalized Health Care Recommendation AI

Developed a personalized medicine recommendation system web app using machine learning and data analysis, aimed at improving patient treatment outcomes.


Sales Forecast- Time Series Forecasting

Used multiple machine learning models to forecast sales (retail store) and performed time series analysis.

Customer Segmentation using clustering model

Developed a ML model to give various recommendations of financial products & services on target customer groups.

0 Achievements
0 Projects
0 Mentored Students
0 Solved LC Problems
0 Cups of coffee

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

Butwal, Nepal

Contact Number

+ 977 986 3296 552

Email Address

[email protected]

Download Resume

Resume



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