Aspiring Junior Data Analyst

A detail oriented entry level data analyst with experience in data visualization software such as Tableau and Power BI, skilled in interpreting and analysing complex datasets, creating compelling visualizations and communicating data insights to both technical and non-technical stakeholders. Demonstrated ability to collaborate with cross-functional teams to identify business requirements and transfer them into effective data-driven solutions.
Also Former Engineer Research Assistant, Educator and Mentor, with four and half year experience research and small area thin film solar cell production seeking an opportunity in development and manufacturing of thin film solar modules used in grid-connected solar power plants.

Technical Skills

  • Programing languages
    • Python, JavaScript, HTML, CSS, and jinja.
  • Databases
    • SQL, MongoDB
  • Supervised Machine Learning Algorithms
    • regressions, Decision trees, random forest classifiers, Cat boost, gradient boosting algorithms
  • Unsupervised machine learning Algorithms
    • k-means clustering, TFIDF, BERT model for regenerative text, recommendation system, predictive modelling
  • Deep learning Algorithms
    • CNN, RNN,
  • Libraries
    • Django, NLTK, tensorflow/keras, pandas, Numpy, Scikit-learn etc.

General skills

  • Git, GitHub
  • Windows DOS Commands, UNIX
  • Client Handle
  • Data visualization and Analysis
  • Report Generation
  • Dashboard maintenance
  • Performance tracking
  • data extraction, Data transformation, Data manipulation
  • statistical analysis
  • cross-functional collaboration
  • Research
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Projects

A/B testing for a game called as cookie cats.
The Problem Statement was to determine which of the version of the game is better
For the solution I Performed Data Transformation, Statistical Analysis, Data Visualization and various Statistical tests. The Key performance indicator was the chi squared test which resulted in giving out the p value more than 0.05 Hence proving the null hypothesis could be rejected and the version 7 of the game could be best the solution.
Click here to view the raw files
Restaurant Suggestor
A website built with Django, Machine learning Python and SQL, recommends restaurants in Bengaluru, India.

The dataset was trained using XG Boost, Collaborative filtering, KNN, K-means and Neural Network Algorithm

The accuracy of the models was about 95.8% on an average.

The statistical Analysis revealed that, 70% of the restaurants have online ordering facility, 23% allowed reservation facility.

Click to view the raw files.
Solar Companies Stock Price Scraping and Storing in a database
Problem Statement: Mine the Data about more than a 100 rows of information spread across more than 4 feature
To obtain the solution I performed ETL, i.e., Extracted the stock data from a solar panel selling company’s website and stored in SQL database. The Data-set contained more than 1000 rows and 5 columns as the Key Performance Indicato
click here to view the raw file
Tableau Dashboard
This Problem was given to me as a part of assement.
The goal was to Analysis the Bookshop data statistically
As a solution Created a dashboard.
The analysis revealed, the highest total sale of a book(total number of sales was 2777 with a Max price of $97.9), average cost of each book ($40.30), The most sold books were from EPD publications and their book size was also bigger compared to other publishers. The max sales crossed $18300.
Click here to see the dashboard

** Please Check my other projects on github. click here

Pervious Work Experience

Freelance Teacher

Achieved Goals

  • Managed to get 6 different clients from accross the globe

Duties and Responsibities

  • Handling 1:1 session
  • I have been teaching Kids over the globe
  • Concepts include, Web development,Game development, Machine Learning, Statistics, Python


Tikerly Teacher Partner at Tinkery


Duties and Responsibities

  • Handling 1:1 session
  • I taught Data Science Concepts
  • I was report to the team manager
  • I was responsible for improving the sales and getting the customers.

Team Leader at Codenlite OPC Limited


Duties and Responsibilities

  • Handling 1:1 session in US
  • Teaching Python Game development, Art development, GUI Apps and Data Science Concepts
  • Training new Teachers to increase the Trial Conversion Percentage as well
  • Kept Parent Teacher Meeting on regular basis to give progress of the child
  • Contributed in Curriculum Development
  • Designed post class projects and quizzes
  • Assigning Classes and students to teachers


Educator and Mentor @ Whitehatjr Education Private Limited

Achieved Goals

Maintained 50% sales conversion rate internationally, and about 14% in India which impacted in the overall personal performance and the companies sales.


Duties and Responsibities

  • Handled 1:1 sessions across the globe
  • Taught Web development using HTML CSS and JavaScript, Artificial Intelligence, Data Science Basics
  • Held Parent Teacher Meeting on regular basis to give progress of the child
  • Contributed in Curriculum Development
  • Designed post class projects and quizzes.
  • Evaluated the submitted projects on daily basis
  • Audited Teacher Performance
  • Mentored new Teachers to improve both individual and company performance.
  • Collaborated with the sales team and curriculum team for more conversion
  • Was Reporting to Director of the Teachers Team



Engineer Research Assistant at University of Malaya, Malaysia

Achieved Goals

  • Increased the efficiency of lead based solar cell by 2.76% in a team of 3 using different coating techniques
  • Won 1st place as best Oral presenter ICFMD 2017


Duties and Responsibities

  • Developed mixed halide Perovskite thin film solar cell with Activated Carbon as Hole transporting layer
  • Increased the efficiency about 1.42% within a span of 3 months using spin coating technique.
  • Conducted comparative study between lead and tin based perovskite solar cells wherein we were able to
  • Increased the efficiency of lead based solar cell by 2.76% in a team of 3 using different coating techniques
  • Support development engineering experiments to optimize processes.
  • Plan, organize, and execute engineering experiment execution
  • Summarized experimental data and presented it in a clear concise format daily to our supervisor.
  • Gave monthly reports to the Professor through presentation and detailed analysis of the experiment conducted

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Education

  • Self-taught Data Science
  • Masters in Data Science from Jovian.ai
  • M. in Nanotechnology from Amity University, India with 7.89 CGPA Tech equivalent to MS in Engineering2015-2017
  • Bachelor’s Degree in Electrical and Electronics engineering from Vishveswaraiah Technological University, India with 80.1%2010-2010

Research Publications

  • Dr Ravi Babu, Smitha R, “Intelligent water cooler controller for water cooling solutions- A conservative Approach” Emerging Research Areas: Magnetics, Machines and Drives AICERA/iCMMD), 2014 Annual International Conference on 24-26th July 2014. IEEE ISBN 978-1-4799-5201-4, INSPEC Accession Number: 14619084
  • Smitha R, Nivedita Sharma, Devesh Kumar, ”Design, Simulation and Comparative study of Square, Rectangular, Triangular and Dual Beamed RF MEMS switch” SPIN 2017, 02-04th Feb 2017, IEEE ISBN 978-1-5090-2797-2
  • Mixed halide Perovskite Solar cell with Activated carbon as Hole transporting Layer, 6th International Conference on Functional Materials & Devices (ICFMD 2017), and Melaka, Malaysia.


Achievements

  • Won 1st place as best Oral presenter ICFMD 2017
  • Independently carried out experiments on Cu-ZnO supercapacitor preparation which resulted in
  • Managed three projects simultaneously in a team of three, which resulted in increased efficiency.
  • Managed to carryout voluntary research on two different projects at Amity University in 2016.

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