Summary
Overview
Work History
Education
Skills
Projects
Timeline
Raghuveer Singh

Raghuveer Singh

Data Scientist
Mumbai

Summary

Data Scientist with a Master's in Data Science and AI/ML, experienced in building and deploying machine learning models and performing advanced data analysis. My background in healthcare tech support sharpened my problem-solving and communication skills. I'm eager to leverage my technical expertise to drive insights and deliver innovative, data-driven solutions.

Overview

3
3
years of professional experience

Work History

Technical Support Engineer

EClinicalWorks
09.2022 - 06.2024
  • Company Overview: Provider of ambulatory clinical information systems
  • Ensured seamless client operations
  • Resolved database, networking, and fax issues
  • Suggested efficient application usage
  • Promoted to the second tier within eight months
  • Trained junior staff, reducing escalation rates by 30%
  • Achieved 95% first-call resolution, enhancing client satisfaction
  • Adapted communication style to effectively convey technical information to non-technical audiences
  • Provider of ambulatory clinical information systems

Trust and Safety Associate

Accenture
01.2022 - 08.2022
  • Boosted department productivity with management and mentoring
  • Exhibited strong leadership, communication, and timely feedback
  • Managed global legal requests and correspondence
  • Resolved client issues using SQL databases
  • Improved trust and safety operations efficiency by 25% with advanced analytics
  • Developed positive relationships with children to foster a sense of safety, trust, and belonging

Business Process Executive

Accenture
06.2021 - 12.2021
  • Enhanced customer value through precise, timely service
  • Engaged with participants to address information requests
  • Promoted to Trust and Safety Associate for IT knowledge and performance
  • Led process improvements, boosting operational efficiency by 75%

Education

Specialization in Data Science And AIML -

DataisGood, New Delhi, India
04.2001 -

Bachelor of Science - Information Technology

Thakur College of Science And Commerce, Mumbai, India
05.2017 - 09.2020

Academics Achievements :

-> 1st Place at TCSC Origin 2018.
-> 1st Place at St. Rock's College in Debate.
-> 1st Place at TCSC in Be a Banker in Debate.
-> Best Speaker in Youth Parliament in 2019 & 2020.


Apprenticeship Experience:
-> Tutored 20+ students (Grades 9–12) in Physics, Chemistry, and Mathematics.
-> Improved test scores by 25% through structured lesson plans and interactive sessions.
-> Collaborated with parents and students to address academic challenges.
-> Mentored students in exam preparation, boosting confidence and performance.
-> Designed visual aids and practice materials for complex topics.

Guidance and Managemets :

-> Literary Arts Crew Member at Tarangan in 2019 & 2020.
-> Founded Literary Arts Event for Tarangan.

->Participated in "IT Summit 2019" at Vidyanagari Santacruz (E).

Higher Secondary Education - Science Education

Rahul International School And Jr. College, Vasai, India
06.2015 - 05.2017

Secondary School Examination -

Rahul International School And Jr. College, Vasai, India
07.2014 - 05.2015

Skills

Python

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Projects

Amazon Sales Analysis:
Overview:
Conducted a detailed analysis of customer data to inform strategic marketing and product development.
Objective:
Leverage data-driven insights to analyze trends and shopping behaviors across diverse industries and age groups, identifying actionable strategies to enhance customer engagement and drive business growth.
Technologies Used:
Excel to import data from csv file, 

Python libraries (Pandas, NumPy, Matplotlib, Seaborn) for data analysis.
Key Findings:
Regional Variations: 

Strong engagement is involved from Southern and Western India.
Age Group: 

26-35 age group is the most active customer segment.
Product Trends: 

High demand for food items; growing interest in furniture and footwear.
Gender Dynamics: 

Notable category preferences between male and female customers.
Sector Influence: 

Distinct purchasing habits among IT, healthcare, and banking sector customers.


Netflix Data Analysis using SQL:
Objective:
Understand user behaviors, preferences, and trends to support strategic content and user engagement decisions.
Technologies Used:
SQL queries and functions for data extraction, manipulation, and analysis.
Data Exploration:
Imported and cleaned data from a CSV file with 8,808+ entries.
Summarized key metrics like average viewing time, popular genres, and user retention rates.
Key Findings:
Popular Genres:
Identified top genres by demographics.
User Engagement:
Determined peak activity times and content preferences.
Retention Rates:
Evaluated retention and churn rates, identifying long-term engagement factors.
Regional Preferences:
Analyzed trends to tailor content strategies.


Music Recommendation Using Machine Learning:
Overview:
Developed a model to predict music preferences across age groups, providing insights for targeted marketing and personalized recommendations.
Objective:
To leverage machine learning to uncover and analyze behavioral patterns in music preferences across various age groups, providing actionable insights for targeted marketing and content strategies.
Technologies Used:
Data collection and preprocessing (Excel, Python)
Feature engineering
Model development (scikit-learn, TensorFlow)
Model evaluation (matplotlib, seaborn).




Timeline

Technical Support Engineer - EClinicalWorks
09.2022 - 06.2024
Trust and Safety Associate - Accenture
01.2022 - 08.2022
Business Process Executive - Accenture
06.2021 - 12.2021
Thakur College of Science And Commerce - Bachelor of Science, Information Technology
05.2017 - 09.2020
Rahul International School And Jr. College - Higher Secondary Education, Science Education
06.2015 - 05.2017
Rahul International School And Jr. College - Secondary School Examination,
07.2014 - 05.2015
DataisGood - Specialization in Data Science And AIML ,
04.2001 -

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