Exploring Technology
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
excelchatbot-frontend
February 21, 2026 – Present
excelchatbot-frontend — GitHub repository
View Projectexcelchatbot-backend
February 21, 2026 – Present
excelchatbot-backend — GitHub repository
View Projectexcelchatbot-backend1
February 21, 2026 – Present
excelchatbot-backend1 — GitHub repository
View ProjectEmployee-Incentive-Report
February 16, 2022 – February 16, 2022
Analyzed Companies Sales dataset to generate automated incentive reports for different employee cohorts that aligns with companies incentive cap and varying incentive for different products.
View ProjectCustomized_Retention_Cohort
January 21, 2022 – January 21, 2022
Made this Automated Report Generating Script to get User acquisition and retention percentage for next 4 weeks from there time when they were acquired and we can get this data for any week of acquisition.
View ProjectCustomerSatisfactionAndEfficiencyMetrics
November 26, 2021 – January 24, 2022
Analyzed a companies Complaint Management dataset to get insights how much of customers are served by Bots and how many by Humans and comparing there efficiency level based on various parameters and generated a report containing its Chat and Agents metrics.
View ProjectIPl-Analysis-Using-SparkSQL
November 12, 2021 – November 26, 2021
IPl-Analysis-Using-SparkSQL — GitHub repository
View ProjectWeb-Scrapper
June 1, 2020 – June 1, 2020
Here I have scrapped data from two websites one is traveltriangle.com and other is timesofindia.indiatimes.com
View ProjectCultural Fit Analysis
The candidate's projects show a mix of data analysis, web scraping, and full-stack development. While some projects align with data science (e.g., 'Employee-Incentive-Report', 'Customized_Retention_Cohort', 'CustomerSatisfactionAndEfficiencyMetrics'), others like 'Web-Scrapper' and 'excelchatbot' are more general programming or web development. This diversity suggests a broad interest but also a potential lack of deep specialization in core data science areas. The 'IPl-Analysis-Using-SparkSQL' project is relevant but lacks detail. The candidate's experience level is listed as 0, which aligns with the personal project focus. The breadth of technologies (Python, JavaScript, HTML, CSS, C++, Powershell, Jupyter Notebook) indicates a willingness to learn and explore, which can be a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.