Prakhar Singh Bisht

Noida

Summary

Data Analyst with a strong interest in financial services. Proven ability to provide daily support to the data and finance department, perform routine assignments, and solve routine/standard problems. Skilled at managing expectations and comfortable working with a substantial amount of information. Analyst who maximizes productivity, profitability, and competitiveness by transforming technology plans into powerful business solutions. Distinguished for both technical and business acumen, and for an ability to bridge communication gaps between technical, business, and executive audiences. Earned degrees in both business and technology

Work History

Data Science Intern

To The New PVT.LTD.

06.2024 - 08.2024

Developed Multiple Machine Learning Models: Gained hands-on experience by creating machine learning models utilizing logistic regression, decision tree, and random forest techniques, along with implementing hyperparameter tuning for optimized performance.
Explored Clustering Techniques: Built a clustering model using K-means clustering, enabling insightful analysis of data patterns and segmentation.
Customer Churn Analysis: Completed a comprehensive assignment focused on predicting customer churn, where I successfully developed and validated a machine learning model to improve retention strategies.
Introduction to Deep Learning: Started delving into deep learning concepts and their practical applications, laying the groundwork for more advanced AI projects.

Education

Post-graduation - Data Analytics, Statistics Fundamentals And R, Data Science With Python, Data Science With R, Advance Excel, SQL Programming, Machine Learning, Deep Learning, Data Visualization With Tableau And Power BI

Imarticus Learning

Delhi, India

04-2024

Bachelor of Commerce - honours

Galgotias University

Noida, India

05-2022

Higher Secondary -

Bal Bharati Public School

Noida, India

04-2019

Skills

Statistical Methods
Applied Machine Learning
Data Reporting tool
Programming Languages
Communication skills

Time Management
Active listener
Microsoft Excel
SQL
Data analysis and statistics

Capstone Project: Study on Australian vehicle prices

Data Import and Preprocessing: Imported libraries and dataset, conducted a thorough check for missing values, and addressed them using mean, median, and mode.
Data Splitting and Scaling: Split data into training/testing sets, applied standard scaling, and converted the price column into a categorical format for linear regression.
Correlation and Feature Selection: Analyzed correlations, removed irrelevant columns, and applied Linear Regression, Decision Tree, and Random Forest, achieving a 75% accuracy rate.

Supermarket Sales Dashboard

Data Preprocessing: Handled null values, extracted month names, split columns, and created a KPI board with key metrics. Added filters and slicers for efficient visualization.
Tableau Dashboard: Developed interactive charts and dashboards, enhancing data understanding.
Key Insights: Identified Naypyitaw as the most profitable city, 19th hour as peak purchase time, and Food & Beverages as the top product category.

Timeline