Praveenkumar Kondikoppa
Data AnalystSoftware Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
- Worked on Neuralnets, LSTM and Perceptron deep learning methods - Developing scalable distributed applications based on MapReduce paradigm. - Statistical model building and predictive analytics - Excellent trouble shooting skills with hadoop cluster and hadoop based applications. - Research experience with machine learning, data mining and big data analytics. - Highly motivated team player with strong design skills. Languages : Java,R, Python,Hadoop,C++,Pregel Frameworks: Spark, Apache Flink, TensorFlow, Caffe, Keras
Louisiana State University
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2013
Software Engineer
March 1, 2018 – Present
Mountain View, California, United States
Teradata Aster
Senior Software Engineer, Machine Learning Platform
August 1, 2014 – March 1, 2018
San Carlos
Teradata Aster
Intern
May 1, 2013 – August 1, 2013
San Francisco Bay Area
Center for Computation and Tech at Louisiana State University
Research Assistant
January 1, 2009 – August 1, 2014
IBM
Software Engineer
January 1, 2007 – January 1, 2009
Bengaluru, Karnataka, India
SLK
Software Engineer
July 1, 2004 – December 1, 2006
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's background is heavily skewed towards software engineering, distributed systems, and machine learning platform development, with a strong academic research component. While there is some exposure to data analysis (e.g., 'Modelling Trends based Yelp Review Data' using R and MongoDB), the primary experience is not directly in a pure Data Analyst role. The extensive experience in building ML platforms and scalable algorithms could be an asset, but the direct alignment with a 'Data Analyst' target role, which often emphasizes business intelligence, reporting, and specific analytical tools, appears limited. The candidate's profile suggests a strong fit for a Data Scientist or Machine Learning Engineer role rather than a traditional Data Analyst.
Soft Skills & Operational Fit
The candidate's resume highlights research and development roles, suggesting strong problem-solving and analytical skills. The detailed descriptions of research projects indicate an ability to work on complex, long-term initiatives. However, without psychometric or English test results, it's difficult to assess communication clarity, stress handling, or team collaboration directly. The focus on individual research and development might suggest a preference for deep technical work over broad team leadership, but this is an inference.