Nikhitha Pulluri

Nikhitha Pulluri Email and Phone Number

Ex Data Analyst @ Mu- Sigma | Segritech @ Segritech
Nikhitha Pulluri's Location
Warangal Urban, Telangana, India, India
About Nikhitha Pulluri

I have around 10 months of experience in data analysis, primarily focused on wind turbine data using Microsoft Power BI, Python, Excel, SQL, and R programming languages. Currently, I'm employed in the Australian retail industry at Coles, where I specialize in analyzing pricing strategies to optimize profits. In this role, I predominantly utilize R language for handling big data sets.I have knowledge on c,c++, Python, sql, Microsoft power BI, Excel, statistics, R language, AWS ,Java

Nikhitha Pulluri's Current Company Details
Segritech

Segritech

View
Ex Data Analyst @ Mu- Sigma | Segritech
Nikhitha Pulluri Work Experience Details
  • Segritech
    Aws Engineer
    Segritech May 2024 - Present
    India
  • Mu Sigma Inc.
    Data Scientist
    Mu Sigma Inc. May 2023 - May 2024
    Bengaluru, Karnataka, India

Nikhitha Pulluri Education Details

Frequently Asked Questions about Nikhitha Pulluri

What company does Nikhitha Pulluri work for?

Nikhitha Pulluri works for Segritech

What is Nikhitha Pulluri's role at the current company?

Nikhitha Pulluri's current role is Ex Data Analyst @ Mu- Sigma | Segritech.

What schools did Nikhitha Pulluri attend?

Nikhitha Pulluri attended Kits Warangal, Kakatiya Institute Of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal.

Not the Nikhitha Pulluri you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.