Ayush Thakur
Dharamsala
Summary
An organized and motivated individual, eager to utilize time management and organizational skills across diverse settings. Seeking entry-level opportunities to enhance abilities while contributing to company growth. Qualified in data mapping and statistics to solve complex problems in high-pressure environments. Activates strong analytical skills to investigate trends in large amounts of data and formulate conclusions based on findings. Excels at cultivating, managing and leveraging client relationships to foster extended engagements and business opportunities.
Overview
2
2
years of professional experience
Work History
Data Analyst Trainee
Public Works Department, H.P
Nurpur
06.2022 - 07.2024
- Developed predictive models for forecasting future outcomes based on provided data sets.
- Designed and enhanced mathematical models to improve data analysis.
- Worked closely with stakeholders across different departments to understand their requirements around collecting, managing, and analyzing data.
- Performed statistical analysis of large datasets using Excel and Python.
- Analyzed complex business problems across various departments within the organization.
- Designed dashboards using Power BI to present findings from analytical projects.
Education
B.Tech -
Jaypee University of Information Technology
Solan, Himachal Pradesh06-2023
Skills
- Google Analytics
- Machine Learning
- Time-series analysis
- Deep learning
- Python Programming
- Data Cleaning
- Tableau Software
- Excel Functions
- Natural Language Processing
- Text Analytics
- Web Scraping
- SQL and Databases
- Sentiment Analysis
- Data Mining
- Statistical Analysis
Projects
1. F1 Data Analytics Dashboard
Link: https://f1driversdata-bgpabh24qp5e8pvtfvxe58.streamlit.app/
Skills: Python, Exploratory Data Analytics, Statistical Analysis, Streamlit, Pandas, Numpy etc.
Summary: In my Streamlit dashboard project, I leveraged F1 drivers data to create an interactive experience where users can filter and compare driver statistics by nationality and individual drivers. This dynamic tool allows for comprehensive analysis of performance metrics, providing insights across various parameters tailored to user selections. Whether you're interested in specific drivers or nationalities, the dashboard offers a detailed comparison to enhance your understanding of F1 racing data.
2. Shein Footwear Recommender System
Link: https://shein-footwear-recommendation-system-pb2nqtta2ybvhnqun5apga.streamlit.app/
Skills: Machine Learning, Data Analytics, NLP, Recommender Systems etc.
Summary: In my Shein Footwear Recommender System project, I created an interactive platform where users are initially presented with five popular shoe options. Users can then either select from these popular choices or search for specific footwear using a select box. Based on their selection, the system recommends similar footwear options, enhancing the shopping experience by helping users quickly find shoes that match their preferences. This user-friendly recommendation system leverages popularity metrics and similarity algorithms to provide personalized and relevant shoe suggestions.
Timeline
Data Analyst Trainee
Public Works Department, H.P
06.2022 - 07.2024
B.Tech -
Jaypee University of Information Technology
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