Chandrashekhar Chaudhari

India

@chandrashekha159

Data Science | Machine Learning | AI Enthusiast | Seeking New Opportunities

Personal Information

chandrashekhar130697@gmail.com
+91-8083188354
Buxar

Badges

Python
Sql

Certifications

Work Experience

  • Data Analyst

    KGIRDHARLAL•  April 2024 - August 2024•  Surat

    Engineered and trained a machine learning classification model, increasing diamond color prediction accuracy by 25%; improved quality control and streamlined inventory management, reducing sorting errors by 40%. Designed and deployed automation scripts in Python to generate reports automatically, reducing report generation time by 50% and cutting manual workload by 30%. Utilized data analysis tools to provide actionable insights, which supported strategic decision-making and led to a 15% improvement in operational efficiency.

  • Data Analyst

    AHIKA•  December 2022 - March 2024•  Surat

    Constructed a forecasting model with ARIMA that improved sales prediction accuracy by 20%, leading to more accurate inventory planning and a 10% reduction in stockouts. Developed a Power BI dashboard that enhanced sales visualization and customer segmentation, resulting in a 15% increase in forecasting accuracy and a 25% improvement in sales strategy alignment.

  • MIS Executive

    FLIPKART•  September 2021 - October 2022•  Bengaluru

    Deployed a new MIS system that reduced operational costs by 15% and improved data reporting efficiency by 20%. Analyzed data to identify and address operational inefficiencies, leading to a 12% improvement in process efficiency and significant cost savings. Partnered with the team to streamline MIS processes, enhancing data accuracy by 18% and increasing management efficiency.

Education

  • D.K COLLEGE

    Bachelor of Science•  March 2018 - Present•  Percentage: 57

  • D.K COLLEGE

    Intermediate•  March 2015 - March 2018

Skills

PowerBI
GitHub
Excel
Google Sheet
MS Office
SQL
PyTorch
Scikit-learn
Pandas
Numpy
Matplotlib
Seaborn
NLTK
SciPy
TensorFlow
Streamlit
NLP
Neural Networks
Flask
Statistics
Python
R