MOHANA Data Analyst K N

Summary

Roles and Responsibilities

Achievements

Having 2+ years of experience in data analytics

Good exposure in EDA (Exploratory data analysis)

process.

Experience in data analysis tools like Tableau,

Power BI and Minitab

Knowledge in data cleaning, data mining and

analysis

Good knowledge in Python

Experience in Python libraries like Pandas, NumPy, Matplotlib, Scikit -learn.

Experience in predictive Machine Learning

modeling

Knowledge in Regression, Clustering, Decision tree, etc..

Good knowledge in writing SQL query and fetching

data from database

Professional Experience

Python

Data analysis

Machine learning

Tableau / Power BI

Data base - MYSQL, MS SQL

Statistical analysis /

Hypothesis testing

Data mining / EDA /

Modeling

Clustering / Regression

Oracle, Azure data base

Education Background

My Contact

ady4io@r.postjobfree.com

Bangalore

827-***-****

Data Analyst - Bosch Limited.

2022

2023

Awarded for Developed most

number of live dashboards

Selected data enthusiast for the

year of 2023

July_2021 – Present

Development of a new stabilized dashboards

for real time data monitoring.

Developing a trend forecasting framework in

order to help businesses.

Conducted detailed analysis, generated

insights and visualization.

Certifications

Skills

Data science

Power BI and Tableau

Certified data science from Steinbeis university

Germany

BE from RR college of

engineering Bangalore

2017 - 2020

Projects MOHANA Data Analyst K N

Project 01

Project 02

Project 03

I hereby declare that the above details are true and correct to the best of my knowledge. Date:

place: Bangalore [MOHANA K N]

Title: Live monitoring dashboard

Environment: Power BI, Tableau, MS SQL.

Role: Data analyst

Result: Improve FPY and OEE

Title: Statistical data analysis

Environment: Tableau, Hypothesis testing

Role: Data analyst

Result: Cost reduction

Title: Predictive machine learning model

Environment: Machine learning algorithm,

MS SQL, Tableau prep builder, Python

Role: Data analyst.

Result: Improve productivity and cost

reduction.

Project description:

Developed Live dashboard for daily

production data monitoring using Tableau

and Developed Power BI dashboard for

daily monitoring production KPI.

data source: MS SQL

Project description:

Reduction of random testing quantity by

using statistical method or hypothesis

testing using previous year testing data

and previous results

Project description:

Exploratory data analysis for machine

data and developed machine learning

algorithms to predict tool life with respect

to vibration of tool.

Contact this candidate