Data Engineering
Resume:
ESHA MUTHUKUMARAN
************@*****.***
https://www.linkedin.com/in/esha-muthukumaran-a398bb17a/ TECHNICAL SKILLS:
1. Experience in writing software with Python using open source libraries like Pandas, NumPy and SciPy. 2. Experience in Data Modeling using Scikit-Learn (Machine Learning Library). 3. Hands on experience with data visualization tools like Matplotlib, bqplot, tableau and Bokeh visualization library. 4. Built Machine Learning regression models and data pipeline using Predictive modeling and Model Selection techniques.
5. Generated regression plots using Seaborn visualization library. 6. Visualized geospatial data using Folium library. 7. Segmented and clustered data using Machine Learning algorithm such as K-means clustering. 8. Retrieved data using location data provider such as Foursquare API. 9. Experienced in PLC, IOT, and complex designing circuits and created various projects using IP3416 PLC controllers.
10. Worked on simulation projects using MATLAB.
11. Designed an SDRAM controller by interfacing the memory device with microprocessor. EDUCATION:
THE UNIVERSITY OF TEXAS AT ARLINGTON AUG 2018 – MAY 2020 Master of Science, Electrical Engineering
ANNA UNIVERSITY MAY 2014 – MAY 2018
Bachelor of Engineering, Electronics and Communication Engineering COURSEWORK:
Linear System, Data Communication, Digital Communication, Programmable Logic Controller, Information theory and coding, Microprocessor, VLSI, Topics in system engineering, Photonics and optical engineering WORK EXPERIENCE:
Student Lab Assistant, Office of Information Technology Feb 2019 - Present The University of Texas at Arlington
As a lab assistant, I lead the undergrad students to complete their class assignments in designing, formatting the documents.
I also help students by troubleshooting the computer and trying to solve the problems they face.
Guided the students by teaching them in the area of Computer basics and their networks. ACADEMIC EXPERIENCE:
Internship: UNIQ technologies-India JUNE 2017 – DEC 2017
Developed a hanging robot model using sensors and an LDR to monitor the industrial safety. Internship: NIIT technologies- India APRIL 2016 – JUNE 2016
Developed a web application using SERVLET and JSP. PROJECTS:
ANALYZING US ECONOMIC DATA AND BUILDING A DASHBOARD USING PYTHON
Extracted essential data from a dataset and made accurate decisions based on the data.
I retrieved essential economic indicators from the data and displayed those economic indicators in a Dashboard.
I primarily examined how the change in Gross Domestic Product (GDP) impacts the unemployment rate. HOUSE PRICE PREDICTION OF KING COUNTY USA INVOLVING PYTHON FOR DATA SCIENCE
The dataset contains house sales price of king county. It includes homes sold between May 2015 and May 2016.
I used linear regression for building model after deep data exploration and feature engineering.
I created clusters (on house prices) and visualized them according to coordinates. CREATING CHOROPLETH MAP IN PYTHON USING DATA VISUALIZATION
In this visualization project in python, I used Folium library, the GeoJSON file of world countries and a publicly available dataset for crime rates in San Francisco and visualized it on SF’s SEGMENTING AND CLUSTERING NEIGHBORHOODS IN TORONTO USING K-means CLUSTERING ALGORITHM
In this project, I explored, segmented and clustered the Wikipedia page containing the information of neighborhoods in Toronto.
I scraped the page, wrangled the data, cleaned it and then read it into a pandas data frame, to represent it in a structured format.
Then, I used the Foursquare API to explore the neighborhoods in Toronto city.
The neighborhoods were grouped into clusters using the K-means clustering algorithm.
Finally, I used the Folium library to visualize the neighborhoods in Toronto city and their emerging clusters. CAPSTONE PROJECT – THE BATTLE OF THE NEIGHBORHOOD
This capstone project uses location data and different location data providers such as Foursquare.
I used RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world.
I used python and its pandas library to manipulate the data.
Finally, I used Folium library to create great maps of geospatial data and to communicate the results. MONITORING OF INDUSTRIAL SAFETY USING A HANGING ROBOT
Developed a robotic model using a sensor fusion robot, that generally combines various sensors and an LDR to predict the value of gas temperature in the industrial environment.
I implemented the control module on a hand-held device to control the forward and backward movement of the robot using the ZigBee 3.0 radio wave protocol.
DETECTING AND LOCATING BLISTERS IN AN UNDERGROUND PIPELINE
I did an automatic analysis of the inner surface of the pipeline using the digital image processing method. Using tensor flow, trained a k5 machine learning with a descriptor-based image processing.
Developed a model that analyzed 100K images per minute of the inner surface of the pipelines to detect the blisters. MONITORED THE STATUS OF A GARBAGE USING IOT
Designed and installed a circuit that attaches an ultrasonic sensor to the trash can.
The output of the ultrasonic sensor was processed by the Arduino and later sent to the GSM module.
Used a software called Arduino IDE to test the project.
The indication of trash can levels were notified by the text messages. MEASURED THE TEMPERATURE USING IP3416 PLC
Determined the relationship between temperature and resistance by performing calibration measurements. A thermistor was used to measure the temperature.
I calibrated using the measurement from thermocouple meter as the referenced temperature. DESIGNED A FLOW METER TO DETERMINE THE NUMBER OF PULSES PER LITER USING IP3416 PLC
Designed a ladder logic program to measure the volume of water flow through the flow sensor.
The complete setup consisted of a water pump and flow meter connected to the plc. MEASURED THE DC VOLTAGE USING IP3416 PLC
Measured the voltage for every second from PLC, once the start button is pushed. SIMULATION USING MATLAB FOR FORMATION CONTROL WITH DESIRED POSITION OFFSETS
Simulated the distributed cooperative control of multiagent vehicle systems for formation control and verified that the formation consensus was reached.
SDRAM CONTROLLER DESIGN
Designed an SDRAM controller which allows MT8LC8M8A2 memory device to be interfaced with a microprocessor having only asynchronous memory support.
WORK PERMIT
Available to work anywhere in the US.
Willing to relocate.
Contact this candidate