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Data Science, Civil Engineering

Location:
Sampangi Rama Nagar, Karnataka, 560001, India
Posted:
August 11, 2023

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Resume:

MAHANTESH

Email:- adyvbc@r.postjobfree.com

Mobile: - 797-***-****

LinkedIn: https://www.linkedin.com/in/mahanteshmetre SUMMARY

A civil engineering graduate turned to develop and grow my interest in the field of data science as I progress through my career.

Passionate and have a good eye for details. Finding new insights from data excites me. Quick learner and enthusiastic about new challenges and opportunities in the field of data science. EDUCATION

DATA ANALYSTICS PROGRAM - GREAT LEARNING CAREER ACADEMY 2022

B-Tech – Civil Engineering 2021

TECHNICAL SKILLS

Technical

Proficiency Components Project Training

Language

PYTHON Yes Yes

MYSQL, PYTHON, MS-EXCEL, EDA and MACHINE LEARNING (Basics) Yes Yes STASTISTICS

Database MYSQL Yes Yes

Data-Science

Tools/Packages

PANDAS, NUMPY, MATPLOTLIB, SEABORN, SCI-KIT LEARN, TABLEAU, POWER-BI

Yes Yes

Coding Interface

JUPYTER- NOTEBOOK, PYCHARM Yes Yes

PROJECTES October- 2022

TRAVEGO TRAVELERS DATA MANAGEMENT:

cleaning the raw data and data formatting works were done by excel, and the database Data were stored in MYSQL Workbench by writing required queries And Finding New Insights from the Data.

Analyze the Passengers and Price to travel by bus for types(sitting and sleepers). Analyzed data Set to identify the Passenger’s preferences in taking the bus(AC/NON-AC-Bus types).

Statistical Analysis of the data, writing Required Queries. Analyze Finding more insights from data, using technology MYSQL

pricing analytics and strategy for Indian consumer. September- 2022

ADULT CENSUS INCOME:

The agenda of this project was to explore the data from American census database to do analysis and to obtain insights.

Tools such as MySQL and Python was used to perform EDA. The descriptive analysis was performed with NumPy and Pandas libraries and the visualization was done with Seaborn and Matplotlib libraries.

After done with visualization and finding insights from the data.

HBFC PERSONAL LOANS:

The situation of this project was to help the bank increase its revenue by increasing customer base who will avail personal loan

A detailed report containing information about targeted customers who should be targeted and marketed to take up personal loans was enclosed.

Used MS-EXCEL Created charts and Dashboards Based on the data. CERTIFICATIONS

DATA ANALYSTICS PROGRAM - GREAT LEARNING CAREER ACADEMY 2022



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