About Me

Hi, I'm Dheeraj and thank you for showing interest in my personal page.

I am a Practical and an organized person with no interest in theory or abstraction unless they see the practical application. Exceptionally capable and driven to turn theories into clear understandings. I highly value knowledge, competence and logic though I am Quiet and reserved, hard to get to know well. I think my way of Mathematics and Physics has turned me to what I am now . I am a Natural leader and also a good follower of the trustworthy existing leaders.

I believe that life should be great, rather than long.


University of Manchester, UK.

Masters in Applied Mathematics (Industrial Aerodynamics) September 2015.

I have worked for BAE systems company as part of dissertation. You can find more about my work in the CV by clicking here download CV or download button above.

Adikavi Nannaya University,India.

Integrated M.S (Mathematics & Computing) May 2014.

In the calm and peaceful city of Rajahmundry with a faculty of high standards, I managed to come out of the University with a distinction. My major is on the Computational Fluid Dynamics.



Thinkbumblebee Analytics

Data Scientist Dec 2017 - Present

  • Solid understanding and experience in statistical methods and programming
  • Experience in both supervised (classification models, regression) and unsupervised learning(clustering, PCA, LDA)
  • Hypothesis testing, insights generation, root cause analysis, drivers analysis
  • Machine Learning (ML) models development in Python and R
  • Develop algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec
  • Data visualisation using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI and DOMO


Junior Data Scientist March 2016 - Nov 2017

  • Collaborate and work closely with cross-functional business partners to identify gaps and structure problems.
  • Responsible to create meaningful presentation and analyses that tells a story focused on insights, not just data.
  • Synthesize methodology and data into actionable business strategy, and communicate findings to product, engineering and management teams.
  • Use statistical and econometric techniques on large datasets to measure results and show key trends, impact and attribution and to model & predict the future performance of users or products.
  • Write and interpret complex SQL queries for standard as well as ad hoc data analysis purposes.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc {{depending on specific project requirements}}. Excellence in at least one of these is highly desirable
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase {{depending on project needs}}.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Silicon Integra

Hadoop Developer Sept 2014 - Jan 2016

  • Involved in gathering the requirements, designing, development and testing.
  • Writing the script files for processing data and loading to HDFS.
  • Writing CLI commands using HDFS.Developed the UNIX shell scripts for creating the reports from Hive data.
  • Completely involved in the requirement analysis phase.
  • Analyzing the requirement to setup a cluster.
  • Created two different users (hduser for performing HDFS operations and map red user for performing map reduce operations only)
  • Ensured NFS is configured for Name Node.
  • Setting Password-less(SSH) Hadoop.
  • Setting up cron job to delete Hadoop logs/local old job files/cluster temp files.
  • Setup Hive with MySQL as a Remote Metastore.


As mentioned earlier, I am an independent researcher and most of my skills are from self motivation.

  • Mathematics & statistics
  • Python and R
  • Machine Learning
  • Hadoop Ecosystem Components
  • Deep Learning
  • SQL

Note: The levels may be exaggerated.

Client Testimonials

  • Two things are infinite: the universe and human stupidity; and I'm not sure about the universe.

    Science without religion is lame, religion without science is blind. The important thing is not to stop questioning.

    Curiosity has its own reason for existing.

  • The first principle is that you must not fool yourself and you are the easiest person to fool.

    For a successful technology, reality must take precedence over public relations, for Nature cannot be fooled. Physics is like sex: sure, it may give some practical results, but that's not why we do it.

    Mr. Richard Feynmann

Get In Touch.

Please Contact me for any other details. Thank you.

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