Satyam AnandSA
Looking for a job

Satyam Anand

@astro_satyam75

Discovering the potential of data through analysis and visualization.

India
Message

What I'm looking for

I am looking for a role that will allow me to work with large and complex datasets to uncover insights and drive meaningful change. I am particularly interested in positions that involve applying machine learning techniques to solve real-world problems and drive innovation. I am also looking for a company culture that values collaboration, creativity, and continuous learning.

As a data analyst and data science enthusiast with 2 years of experience, I am passionate about using data to uncover insights and drive meaningful change. I have a strong background in machine learning and JavaScript, and I am always looking for ways to expand my technical skills and knowledge.
In my free time, I enjoy exploring my interests in space and rockets, reading books on a wide range of topics, delving into the rich history of our world, playing tennis and chess, and delving into the depths of philosophy.
I am always looking for new and exciting opportunities to apply my skills and make a positive impact.

Experience

IA
Current

Electronics Engineer

Indian Amateur Rocket Association

Aug 2021 - Present (2 years 9 months)

Responsible for analyzing data collected from electronic sensors using
Python Pandas and SQL.
Upgraded the static test efficiency from 20 to 40 percent by working
closely with other team members to identify areas for improvement and
implementing new processes and processes

AE

Embedded Systems Intern

Aerogram

Feb 2020 - Aug 2020 (6 months)

Fabricated prototype LoRa devices and upgraded the gateway for
communication to accommodate from 8 to 32 devices.
Visualized uplink and downlink data generated on the LoRaWAN
network and increased range of communication by 120%

CO

Programmer Analyst Trainee

Nov 2021 - Apr 2022 (5 months)

Optimized our employee and new-recruit database with MySQL, SQL
Server. Modified the database to correct errors and improved
performance. It significantly improved the accuracy and reliability of our
database.

Identified duplicates, former employees, promoted employees, and
employees who existed across multiple department tables resulting in
improved accuracy and reliability of our database

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