Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

SAMEER SURYAWANSHI

Chhindwara

Summary

Passionate data professional proficient in Python and SQL, with hands-on experience in analysis and automation. Known for problem-solving skills and delivering impactful solutions. Ready to leverage expertise in a dynamic environment, driving business growth through insightful data-driven strategies. Eager to contribute to innovative projects and excel in a collaborative team setting.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Data Analyst

DISYS
2023.07 - Current
  • Developed stored procedures for new requirements, enhancing database functionality and performance.
  • Developed stored procedures to expedite resolution of select support tickets, streamlining processes and improving efficiency.
  • Conducted daily data analysis on client project databases, utilizing SQL and Python to derive actionable insights and support strategic decision-making.
  • Automated repetitive tasks with Python scripts, increasing productivity within the team.
  • Collaborated with the database team to optimize data storage and retrieval processes, ensuring efficiency and data integrity.
  • Assisted in the creation of new database tables, aligning with project requirements and maintaining data consistency.
  • Utilized data visualization tools to effectively communicate business insights.
  • Analyzed existing SQL queries to identify opportunities for improvements.

Education

M.Tech - Industrial Automation

National Institute of Technology Trichy
Trichy, Tamil Nadu
06.2023

B.E - Mechanical Engineering

Yeshwantrao Chavan College of Engineering
Nagpur, Maharashhtra
05.2019

Skills

  • SQL Databases
  • Python Programming
  • Exploratory Data Analysis
  • Data Visualisation
  • Microsoft Power BI
  • Microsoft Excel
  • Problem-Solving

Certification

Associate Data Analyst (Data Camp)

Projects

Exploratory Data Analysis on Hotel Booking Dataset
  • Collected and cleaned the hotel booking dataset spanning from 2015 to 2017, ensuring data integrity by handling missing values and correcting anomalies.
  • Utilized Python (Pandas, Seaborn, Matplotlib) for visualizations such as histograms, heatmaps, and time series plots to analyze booking patterns, cancellations, and guest demographics.
  • Identified peak booking times, seasonal variations, and primary reasons for booking cancellations.

Timeline

Data Analyst

DISYS
2023.07 - Current

M.Tech - Industrial Automation

National Institute of Technology Trichy

B.E - Mechanical Engineering

Yeshwantrao Chavan College of Engineering

Associate Data Analyst (Data Camp)

SAMEER SURYAWANSHI