Data Analyst
Ahmed Khan Salman
Personal Info
Address
Apt 2112
Houston TX 77021-3770
Phone
ac39qt@r.postjobfree.com
Skills
Python for Data
Analytics
Proficient with numpy, Scikit, re,
matplot, beautiful soup, pandas,
JSON, SQlite libraries
Machine
Learning
Multivariate Linear regression,
Regularized logistic regression,
Neural Networks forward &
backward propogation, SVD, PCA
SQL
Data Extraction, Filtration, Joins,
Grouping, Wildcards
Software
MATLAB
Image analysis,Computational
Analysis, Plotting, Optimisation
tool box
SQlite DBMS
Tableau
Data Connections, Filtering,
Visualisation & Dashboards
MS Excel
Data Visualization, charts, reports
R-studio
Statistical Analysis
CAMO
Unscrambler Tool to build
regression models for process
industry
Experience
Jan 2017 -
Dec 2017
Research Assistant
University of Houston
Compiled research paper on classification of handwritten digits using SVD, kNN, one vs. all Logistic regression and regularized Neural network algorithm. Analyzed performance of these algorithms to draw conclusions about their applications.
•
Collected, profiled and filtered data to prepare training and testing data set. Performed validation of model for error analysis and provided feedback to optimize the algorithm.
•
Built prediction & classification models using real time data based on different Machine Learning methods.
•
May 2015 -
Oct 2015
Data Analyst
Bharat Heavy Electricals Limited, Bhopal, Testing Department Performed Multivariate analysis on empirical data of Cu, Al, SS coils and other sub-assemblies manufactured in BHEL (India’s largest manufacturing organization) using CAMO. Analyzed relationship of Mechanical properties viz. Ductility, Tensile strength, Surface Hardness, Malleability etc. with the performance index (PI).
•
Plotted Correlation chart, Score plots, Bi-plots, variance plot to select prime variables and study their impact on the PI. Pointed outliers through grouping and sampling observations based upon quality and observing residuals & inference plots.
•
Developed a PI prediction model for evaluation of coils passing through QA department using partial least square regression method based on the analysis. Validated model to ensure low RMSE and R-square error.
•
Education
Aug 2016 -
Dec 2017
University of Houston
• MS in Mechanical Engineering
• GPA 3.867/4
Aug 2012 -
Jul 2016
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal
• BE in Mechanical Engineering
• GPA 3.7/4
Projects
Oct 2017 -
Dec 2017
Image classification of Handwritten Digits
Research Assistant
K-Nearest Neighbourhood Classification (KNN) and Singular Value Decomposition (SVD) technique.
•
Optimized SVD algorithm by finding the optimal value of spatial modes for classification.
•
• Clustered the classification for decreasing computational time Tested algorithm for different set of images to determine accuracy of the algorithm using Confusion matrix.
•
Certificates
Feb 2018
Certificate in Machine Learning
from Stanford University
Jan 2018
Certificate in SQL for Data
Science from University of
California, Davis
Jul 2017
Specialization Certificate in
Python from the University of
Michigan
May 2017
Certificate in Energy Trading
Systems from the University of
Houston
Jan 2018
Certificate in Tableau from
Udemy
Summary
Data Analyst with proficiency in
Python and MatLab.
Experienced in working with
real time data to develop
prediction & classification
Models using Machine Learning
algorithms.
Studied graduate level applied
mathematics & Data analysis
techniques. Worked on multiple
research projects as a research
assistant
Dec 2017 -
Feb 2018
Image classification of Handwritten Digits
Research Assistant
• One vs. all logistic regularized multi-class regression model Regularized Neural network using Forward feed and backward feed algorithm.
•
Jul 2017 -
Oct 2017
Quality Assurance Classification model
Research Assistant
Developed a classification model to predict whether a micro chip from a fabrication plant will pass the QA test or not based on different quality exams score.
•
Used feature mapping to obtain higher dimension feature vector resulting to a non-linear classification boundary.
•
Implemented regularized logistic regression and optimized decision boundary using L-BFGS technique while avoiding over-fitting.
•
May 2017 -
Jul 2017
Real Estate price Prediction Model
Research Assistant
Built a housing price model based on different features i.e. size of house, number of bedrooms, number of floors to predict the price for real estates using Multivariate Linear regression method.
•
• Compared Gradient descent and Normal equation optimization technique. Nov 2017 -
Jan 2018
Yelp Database Analysis
SQL
Performed real time analysis of various businesses located in different cities using the database provided by Yelp.
•
Used SQLite Browser to extract required data through appropriate joins and layers of filtration. Analysis focused on comparing the impact of key parameters i.e. reviews, neighbourhood, category, star-rating, operational hours & user fans on different businesses.
•
May 2017 -
Jul 2017
Smart appliance real time data analysis for predicting human behaviour
Statistical Analysis
Built a model on MATLAB justifying human response based on 3 variables viz. heart rate, altitude, speed obtained from smart watch.
•
Developed co-variance matrix to show their relationship. Checked statistical significance of the data by performing tests.
•
This approach can be applied on any appliance with multiple variables to develop a relation among them
•
Feb 2017 -
Apr 2017
Optimization of superconducting coil model
Research Assistant
Performed Electro-magnetic analysis using FlexPDE on a model of superconducting coils. Used FEA symmetry to evaluate characteristics.
•
Developed a python program to apply Monte Carlo Space Design exploration technique for optimization of the design parameters.
•
Aug 2016 -
Dec 2016
Mortgage option affordability with budgetary constraints Tableau
Assessment of various schemes offered by bank to a customer interested in buying a property with limited budget and financial constraints.
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Analyzed all options with different parameters including interest rate, Mortgage period, Down-payment % using MS- Excel.
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• Built Dashboard on Tableau to visualise different options
Contact this candidate