Manish Shukla

Manish Shukla

Dallas, Texas, United States
3K followers 500+ connections

About

As a Senior Data Scientist at Deloitte, Manish applies his expertise in time series…

Activity

Experience

  • Verizon Graphic

    Verizon

    Dallas, Texas, United States

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    Dallas, Texas, United States

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    Dallas, Texas, United States

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    Dallas, Texas, United States

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    Irving, Texas, United States

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    Lewisville, Texas, United States

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    Dallas

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    Mumbai, Maharashtra, India

Education

  • The University of Texas at Dallas Graphic

    The University of Texas at Dallas

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    Activities and Societies: EnVision, Indian Student Association

    Sign Language Interpreter (UNT Hackathon Winner) | Deep Learning, TensorFlow, Keras, OpenCV
    • Developed tool to help 70 million people suffering from hearing disability by converting sign language into words
    • Trained a convolutional neural network to predict ASL hand gestures in live video feed with an accuracy of 96.2%

    Identify Diabetic Patient Readmission | Machine Learning, Scikit-Learn, Pandas, Numpy, Seaborn
    • Performed Classification to identify which diabetic patient…

    Sign Language Interpreter (UNT Hackathon Winner) | Deep Learning, TensorFlow, Keras, OpenCV
    • Developed tool to help 70 million people suffering from hearing disability by converting sign language into words
    • Trained a convolutional neural network to predict ASL hand gestures in live video feed with an accuracy of 96.2%

    Identify Diabetic Patient Readmission | Machine Learning, Scikit-Learn, Pandas, Numpy, Seaborn
    • Performed Classification to identify which diabetic patient will be readmitted within next 30 days after discharge
    • Cleansed and modified live data of 130 hospitals to build Machine Learning model and obtain statistical insights

    Air Passengers Time Series Analysis | Forecasting, ARIMA, Statsmodels, Matplotlib, ACF and PACF
    • Forecasted number of air passengers using ARIMA model and Dickey-Fuller test in python for next 10 years
    • Deployed using Flask and on basis number of months as user input forecast number of passengers for airlines

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    Activities and Societies: Treasurer, IETE VCET | Sports Coordinator, VCET | Placement Coordinator, VCET

    Projects :
    Human Identification using Ear, VCET (Felicitated 2nd Prize in National Project Showcase)
    • Developed application which shows eligibility of using ears as a reliable biometric for human identification and provided best accuracy using Log Gabor filter for Image Processing in MATLAB

    Color Sensing Robot in MATLAB, VCET (Awarded 2nd Prize in National Project Showcase)
    • Implemented program in MATLAB for industrial applications such as controlling heavy load…

    Projects :
    Human Identification using Ear, VCET (Felicitated 2nd Prize in National Project Showcase)
    • Developed application which shows eligibility of using ears as a reliable biometric for human identification and provided best accuracy using Log Gabor filter for Image Processing in MATLAB

    Color Sensing Robot in MATLAB, VCET (Awarded 2nd Prize in National Project Showcase)
    • Implemented program in MATLAB for industrial applications such as controlling heavy load lifting machines with some object of a specific color in your hand, moving of robots in constrained areas

Licenses & Certifications

Courses

  • Applied Econometrics & Time Series Analysis

    BUAN 6312

  • Big Data Analytics

    BUAN 6346

  • Business Analytics with R

    BUAN 6356

  • Database Foundations

    BUAN 6320

  • Machine Learning

    BUAN 6341

  • Natural Language Processing

    BUAN 6V99

  • Predictive Analytics using SAS

    BUAN 6337

  • Prescriptive Analytics

    BUAN 6398

  • Programming for Data Science

    BUAN 6340

  • Statistics and Data Analysis

    OPRE 6301

Projects

  • Sign Language Interpreter

    - Present

    • Developed tool to help 70 million people suffering from hearing disability by converting sign language into words
    • Trained a convolutional neural network to predict ASL hand gestures in live video feed with an accuracy of 96.2%

    Tools : Deep Learning, Python, TensorFlow, Keras, OpenCV

    See project
  • Identify Diabetic Patient Readmission

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    Classified the hospital re-admission probability of a DIABETIC patient by using appropriate Data Science techniques such as Feature Engineering and Model Deployment

    See project
  • UNICEF Mortality rate analysis

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    Found Factors Causing Under 5 Mortality, Trend Analysis and Recommendations for Reducing Under-5 Mortality Rate at Country level

    Other creators
    See project
  • Air-Passengers-Time-Series-Analysis

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    Forecasted number of passengers for next 10 years of airlines using ARIMA model in python

    See project
  • Fraudulent Firm Identifier

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    • Built audit applications to help the auditors by building a classification model that can predict the fraudulent firm
    • Designed a model with prediction up to 97.4% using SVM, Decision tree and Random Forest

    Tools : Machine Learning, Tableau, Scikit-Learn, NumPy, Pandas, Matplotlib, Graphviz

    See project
  • Performance evaluation of Diapers

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    • Cleansed and modified scanner data of grocery store containing around 6 million rows to build database
    • Performed Regression, ANOVA, Hypothesis testing for providing solutions to improve sales of diapers by 17%

    Tools : SAS, SQL, R-Studio, Advanced Excel (Macros, PivotTable, VLOOKUP)

  • Human Identification using Ear

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    • Developed application which shows eligibility of using ears as a reliable biometric for human identification
    • Provided best accuracy of 97.2% using Log Gabor filter for Image Processing and built database for 90K+ Images

    Tools : MATLAB, SQL, Excel, HTML

Honors & Awards

  • WOW Awards

    Mary Kay Inc

  • IAS Hackathon Winner

    Intelligence Analytic Society at UTD

    Found Factors Causing Under 5 Mortality, Trend Analysis and Recommendations for Reducing Under-5 Mortality Rate at Country level

  • Forbes under 30 Scholar

    Forbes

  • MLH HackUNT'19 Winner

    MLH

    Sign Language Interpreter using Deep Learning
    • Developed tool to help disable people by converting sign language into words using Image processing, capturing images from live video and Deep learning algorithm, Convolutional Neural Network (CNN)

  • Dean's Excellence Scholarship

    UTD Dean

  • Valuable Performance Award 2017

    Larsen & Toubro Infotech

    Manish supports 60 applications with no escalations. He quickly gained application knowledge and processes. Apart from taking up complex work, he has always shown readiness to share and help other team members during crisis. His out-of-box thinking with strong technical and quick analytical skills have made him an assest for the team.

  • PAT on BACK

    Larsen & Toubro Infotech

    Manish has been a with the team for last 1+ year and quick learner in the Payroll applications before moving to MFG applications support. His dedication and ease of work and taking lead in support is commendable and has resolved many critical issues in the delivery systems area. He is committed to his work, deliver good quality output and in timely manner. He is flexible and adaptable for any work demand for any part of the day

Languages

  • Hindi

    Native or bilingual proficiency

  • English

    Full professional proficiency

  • Marathi

    Native or bilingual proficiency

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