Vedant Dave * Markanna Drive,

https://vedantdave*17.com/ M1M2H9, Scarborough ON

ada2qy@r.postjobfree.com https://www.linkedin.com/in/vedant-dave117/ 226-***-**** https://github.com/vedantdave77

PROFILE OF SKILLS:

Created SQL database for SAP based PM practice implementation under KAIZEN idea and have 2+ year of experience in Python coding and generating Power Bi, Tableau dashboard.

Technical experience of business and finance data analytics concepts in areas (Business, healthcare) with proper data governance.

IBM data science specialization certified with deep data insight capability and have experience of data story telling by presentations and analytics reports. TECHNICAL SKILLS:

Database System: SQL, Oracle (SQL Server), PostgreSQL, MongoDB Software: Power Bi, Tableau-10, SAS, Excel-VBA, MATLAB, Orange (data mining, ML) Programming Languages: Python, Java, R, Golang (Google), Hadoop Cloud Computing: Amazon Web Services (AWS), GCP, IBM Cloud ML-DL Libraries: TensorFlow, Keras, Scikit-learn, XGBoost, Pandas, NumPy, Seaborn, NLTK, PyTorch Deep Learning Algorithms: ANN, CNN, RNN, GAN

EDUCATION:

Master of Engineering (Electrical and Computer) September 2018-August 2019 University of Windsor, Windsor, ON

Related Coursework: Data mining, Applied Machine Learning, Computational Intelligence, Deep- Learning, Project Management

Bachelor of Engineering (Electrical Engineering) August 2012- April 2016 Gujarat Technological University, Gujarat, India

RELATED PROJECTS:

[1] Bank Loan interest data prediction & Analysis by Power Bi: [link]

Achieved accurate loan data interest rate prediction for 30 years from quarter based successful loan achiever’s trend analysis.

Created Dashboard by applying filter options such as 15/30-year loan duration, date wise prediction.

[2] UK Home Price Prediction Data Analysis (Capstone Project) [link]

(IBM Data Science Specialization use IBM cloud, python)

Challenges: Data Compilation, Preprocessing, Integration, Feature creation, Outliers

Achievement: Identified human purchase patterns, relation between facilities along with property purchased and trained prediction model for future market trend.

[3] Canada Bankruptcies and economical trend analysis [link]

Used Canada’s province based economical growth, census data and bankruptcies rate for analyzing Business problem: How the average age affect the rate of bankruptcies and what is the safe age for loan return guarantee for banks.

[4] Self Organizing Map Optimization (Missing data imputation for surveys) [link]

Skills: MATLAB, Data-preprocessing, imputation, Comp. Complexity, survey report understanding

Achievement: Got high accuracy of missing survey data by parameter tuning of unsupervised learning.

Vedant Dave Page 2

Reference are available upon request

[5] Free Lancing: Industrial Experience of cost reduction

[Oil and Natural Gas Corporation Ltd (Gujarat)] December 2015-April 2016

Achieved 12% cost reduction and smooth operation of Oil rig by analyzing monthly oil demand and production.

Suggested efficient operation sequences and new design solution.

[6] Machine Learning Feature Selection (Lead Team Project) [link]

Challenges: Dataset Size (19 datasets), Computational & time Complexity, overfitting,

Achievement: Improved training accuracy (80 to 96 %), reduce complexity by reducing size Request: Please visit my GitHub profile for other Mini Projects & Course work. WORK EXPERIENCE:

Operation System Engineer (System analysis) January 2017- July 2018 Zydus Special Economic Zone (USFDA) Gujarat, India

Skills Developed: Data Analysis, Financial Prediction, applied concepts of engineering, root cause analysis, Management strategies, database creation & management, Project Implementation, Reporting & Presentation.

Handled financial matters for Project’s estimation and monthly utility bills

Successfully predicted weekly raw material demand, budget requirements as per market scenario for 1.5 years by market trend multivariate data analysis.

Lead the KAIZEN team project and saved 10,000 CAD (approx.) annually by reordering operations by utility consumption analysis and awarded as best KAIZEN team.

Developed Yearly PM schedule database for implementation of SAP based PM planning, handled security door access system data problems(hazardous labs, confidential locker rooms)

Implemented Compressed tablets crack machine vision and root cause analysis & A/B testing of system for detecting product contamination for QA procedures. TECHNICAL INVOLVEMENT & VOLUNTEERING:

Tutor: Trained 3 learners to develop skills according to Job under Ontario Adult learning program.

Committee Member: Wrote & organized blogs and decided theme for college Library Magazine.

Blood Camp Organizer(3 years) : Organized, raised awareness in community for Civil Hospital (Red Cross)

CERTIFICATES & PROFESSIONAL DEVELOPEMENT:

IBM Data Science Professional Certificate [link]

(Data Analysis, visualization, SQL, Python, ML algorithms, Capstone)

AWS Machine Learning Certification (Currently learning)

Seminars: Adaptive Machine Learning, Reinforcement learning (Sarah D’Ettore, Microsoft) MOOC COURSES:

Reason to learn: To join online community, and belief of continues learning…

Microsoft Power Bi [Link]

Tableau 10 (2019) [link]

R Programming (Real Datasets) [link]

Python for Data Science and Machine Learning Boot camp [link]

NLP with python for ML essential Training [link]

Machine Learning (Stanford) [link]

Neural Networks and Deep Learning [link]

Improving Deep Neural Networks: HP tuning, Regularization and Optimization [Link]

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