Rajesh Kadem

Software Engineer

Andhra Pradesh, India10 yrs 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Experienced in developing applications and frameworks.
  • Strong background in data science and analytics.
  • Proficient in multiple programming languages and tools.
Stackforce AI infers this person is a Software Engineer with a focus on Data Science and Application Development.

Contact

Skills

Other Skills

Data StructuresPythonMachine LearningArtificial Intelligence (AI)KeraspandasOperating SystemsTensorFlowLeadershipCoding ExperienceData AnalyticsArtificial Neural NetworksScikit-LearnNumPyTime Series Analysis

About

Experienced Research And Development Engineer(Software Developer) skilled in Java, Data Structures and Algorithms,Data Science, Data Analytics. Strong engineering professional graduated from Maulana Azad National Institute of Technology.

Experience

10 yrs 7 mos
Total Experience
2 yrs 9 mos
Average Tenure
4 yrs 2 mos
Current Experience

Microsoft

Software Engineer 2

Mar 2022Present · 4 yrs 2 mos

Servicenow

Software Engineer

Dec 2021Mar 2022 · 3 mos · Hyderabad, Telangana, India

  • As part of GCS Dev team worked on developing the Instance Analyzer application and debugging the issues related to it. Also worked on the value realization part in which developed historical scripts and definitions to extract the past data which is used for future development and business improvement.

Samsung electronics

Research And Development Engineer

Jun 2019Dec 2021 · 2 yrs 6 mos · Noida, Uttar Pradesh, India

  • Worked on developing the android Wi-Fi Framework and solving of issues related to it.
  • Worked independently on problems related to the Wi-Fi Framework and added new features to the framework.
  • Worked with team on development and integration of Android GO Q OS and R OS projects.

Ge

Data Science Intern

Jan 2019Jun 2019 · 5 mos · Mumbai, India

  • Worked on ESP Diagnostics project in which we predicted the feature values of 8 tags like well head pressure, pump intake pressure,temperature etc by training the past time series datasets using different Time Series Forecasting Models like ARIMA, LSTM Neural Network and predicted the problems like broken shaft etc in advance by passing the predicted values of 8 tags into an algorithm which detects the problem. This project plays a crucial part in the business by increasing the efficiency, productivity and reduces the risk and impact.

Maulana azad national institute of technology

Computer Science and Engineering

Jul 2015Jun 2019 · 3 yrs 11 mos · bhopal,india

Education

Maulana Azad National Institute of Technology

Computer Science

Jan 2015Jan 2019

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