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S U M M A R Y :
Overhauled the out of date legacy source code of Client software, ensuing in
extended usability and reduced load time by means of 60%.
SHIVAM SEHGAL
C O M P U T E R     S C I E N C E    E N G I N E E R
C O R E S K I L L :
Technical:
Programming Languages: C++, Core Java,Python, R, JavaScript
Databases: Oracle, Mysql, MongoDb, Big Query
Big Data Ecosystems: Hadoop, Spark Core, Spark Sql
BI Tools: Tableau, Excel, Jupyter
Deployment:Google Cloud Platform.
IDE: Eclipse, Rstudio, Spyder, Visual Studio Code
Soft Skills:
- Trained in oral communication and Story Telling.
- Good in presentation skills and working in Teams of minimum 6.
C O N T A C T I N F O R M A T I O N :
Email-Id: shivamsehgal2016@gmail.com
LinkedIn: https://www.linkedin.com/in/shivam-sehgal-158b4b141
Kaggle: https://www.kaggle.com/shivam546/kernels
Github: https://github.com/shivamMahi?tab=repositories
Address: Shivabhi Luxuria Apartment K 402 Makarpura, Vadodara,
Gujarat 390013
Phone: 8360041326
C E R T I F I C A T E S :
Earned Coursera John Hopkins Data Science Certification with R.
Undergoing Coursera Michigan University Statistics with Python
Specialization.
Achieved Data Processing Specialist. (Aspiring Minds)
Gained Apache Spark 2 with Scala - Hands On with Big Data. (Udemy)
Accomplished Big Data Hadoop Certification. (Dataflair)
Awarded Oracle 12C Certificate. (Naresh IT)
BI ANALYST (INTERN)
Sears Holding India | June 2019 - present
Works on creating Sql queries , developing API's for fetching the
data from MongoDb and Big Query database.
Creating Services in Angular 8, writing Business Logic's and
binding the facts to the UI running on Node Server.
Analyzing records, developing Charts using Ngx-Charts and
displaying on UI.
Technologies: Sql, Google Cloud Platform, MongoDb, Mysql,
Angular 8, Typescript, NodeJs, Gitlab.
W O R K E X P E R I E N C E :
LOVELY PROFESSIONAL UNIVERSITY    2016 - 2020
Bachelor of Technology (B.Tech)
Current CGPA : 8.75
Ex Member of Echo Club.
Achieved Participation Certificate in Google Dev Fest.
E D U C A T I O N :
KV AFS BEGUMPET,HYDERABAD SCIENCE 2016
XII (SENIOR SECONDARY)
Percentage : 80.10%
E X T R A - C U R R I C U L A R A C T I V I T I E S :
Participated in Indian Entrepreneurship Congress 2019 at LPU.
Participated in 5km run competition held at LPU.
Coordinator of Independence Day 2018 at LPU.
Achieved 'A' grade in B certificate exam of NCC in class 12th.
NAUKRI.COM JOB ANALYSIS  JAN 2020 - PRESENT
Technology: Python, Spark, Mysql, Tableau, Jupyter
The Datasets are taken from Kaggle and consists of 22000 rows and
7-8 column each and was stored in Mysql Database.
Data was dirty, formatted using PySpark and very last blended table
was saved in Mysql Database and local storage in Parquet format.
Pyspark  Dataframes Jobs are run in Optimized way which offers
Business Insights approximately how marketplace is progressing and
the manner a Job Seeker need to technique to get a Job.
Visualization of Insights are in progress using Tooltip, Dashboards
and Stories in Tableau via connecting to Mysql.
R E C E N T P R O J E C T S :
GOOGLE PLAY STORE APPS ANALYSIS   NOV 2019 - DEC 2019
Technology: Python, Jupyter Notebook
The Dataset is taken from Kaggle and initially contains 10841
rows and 13 column between 2010 - 2018 and follows Data
Science Pipeline upto EDA.
The Analysis give many Business Insights of how various Apps have
performed with respect to Category, Ratings, Reviews, Android
Version, Price and more.
Final conclusion which I analyzed was Most of the top rated apps
are  optimally sized between ~2MB to ~40MB , Health and
Fitness apps receive more than 85% positive reviews and more.

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Overhauled Legacy Source Code, Reduced Load Time 60

  • 1. S U M M A R Y : Overhauled the out of date legacy source code of Client software, ensuing in extended usability and reduced load time by means of 60%. SHIVAM SEHGAL C O M P U T E R     S C I E N C E    E N G I N E E R C O R E S K I L L : Technical: Programming Languages: C++, Core Java,Python, R, JavaScript Databases: Oracle, Mysql, MongoDb, Big Query Big Data Ecosystems: Hadoop, Spark Core, Spark Sql BI Tools: Tableau, Excel, Jupyter Deployment:Google Cloud Platform. IDE: Eclipse, Rstudio, Spyder, Visual Studio Code Soft Skills: - Trained in oral communication and Story Telling. - Good in presentation skills and working in Teams of minimum 6. C O N T A C T I N F O R M A T I O N : Email-Id: shivamsehgal2016@gmail.com LinkedIn: https://www.linkedin.com/in/shivam-sehgal-158b4b141 Kaggle: https://www.kaggle.com/shivam546/kernels Github: https://github.com/shivamMahi?tab=repositories Address: Shivabhi Luxuria Apartment K 402 Makarpura, Vadodara, Gujarat 390013 Phone: 8360041326 C E R T I F I C A T E S : Earned Coursera John Hopkins Data Science Certification with R. Undergoing Coursera Michigan University Statistics with Python Specialization. Achieved Data Processing Specialist. (Aspiring Minds) Gained Apache Spark 2 with Scala - Hands On with Big Data. (Udemy) Accomplished Big Data Hadoop Certification. (Dataflair) Awarded Oracle 12C Certificate. (Naresh IT) BI ANALYST (INTERN) Sears Holding India | June 2019 - present Works on creating Sql queries , developing API's for fetching the data from MongoDb and Big Query database. Creating Services in Angular 8, writing Business Logic's and binding the facts to the UI running on Node Server. Analyzing records, developing Charts using Ngx-Charts and displaying on UI. Technologies: Sql, Google Cloud Platform, MongoDb, Mysql, Angular 8, Typescript, NodeJs, Gitlab. W O R K E X P E R I E N C E : LOVELY PROFESSIONAL UNIVERSITY    2016 - 2020 Bachelor of Technology (B.Tech) Current CGPA : 8.75 Ex Member of Echo Club. Achieved Participation Certificate in Google Dev Fest. E D U C A T I O N : KV AFS BEGUMPET,HYDERABAD SCIENCE 2016 XII (SENIOR SECONDARY) Percentage : 80.10% E X T R A - C U R R I C U L A R A C T I V I T I E S : Participated in Indian Entrepreneurship Congress 2019 at LPU. Participated in 5km run competition held at LPU. Coordinator of Independence Day 2018 at LPU. Achieved 'A' grade in B certificate exam of NCC in class 12th. NAUKRI.COM JOB ANALYSIS  JAN 2020 - PRESENT Technology: Python, Spark, Mysql, Tableau, Jupyter The Datasets are taken from Kaggle and consists of 22000 rows and 7-8 column each and was stored in Mysql Database. Data was dirty, formatted using PySpark and very last blended table was saved in Mysql Database and local storage in Parquet format. Pyspark  Dataframes Jobs are run in Optimized way which offers Business Insights approximately how marketplace is progressing and the manner a Job Seeker need to technique to get a Job. Visualization of Insights are in progress using Tooltip, Dashboards and Stories in Tableau via connecting to Mysql. R E C E N T P R O J E C T S : GOOGLE PLAY STORE APPS ANALYSIS   NOV 2019 - DEC 2019 Technology: Python, Jupyter Notebook The Dataset is taken from Kaggle and initially contains 10841 rows and 13 column between 2010 - 2018 and follows Data Science Pipeline upto EDA. The Analysis give many Business Insights of how various Apps have performed with respect to Category, Ratings, Reviews, Android Version, Price and more. Final conclusion which I analyzed was Most of the top rated apps are  optimally sized between ~2MB to ~40MB , Health and Fitness apps receive more than 85% positive reviews and more.