Kishan Teli

2605 E Date Palm Paseo · Ontario, CA 01764 · (551) 285-7379 · KishanTeliME@gmail.com .
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Inquisitive, energetic computer science specialist skilled in leadership, with a strong foundation in math, programming logic, and cross-platform coding. Seeking to explore new technologies which can expand the outreach of technologies for better accessibility. I am familiar with innovative thoughts that will benefit the organization in the long run and also help me in building my professional career.

Every waking moment narrates a story…. A story that starts with lifecycle of data and ends with intelligent and effective business decisions. This is the story of the “Data” , in which the lead role is played by the “ Data Analyst”. Throughout the story, the hero proves his capabilities by fighting against inaccurate, coarse and inconsistent data. He tries to get meaning into the lifeless data, such that this story ends happily by leveraging business value. Since my Undergraduate I always strived to become the hero in the above Story of Data. I mastered myself in courses like Data Structures, Advance Database Management Systems, Data Mining & Business Intelligence, Artificial Intelligence, Mathematics & Statistics, Software Project Management.

Now, I am a graduate student pursuing a Masters degree in Electrical and Computer Engineering with Major of Artificial Intelligence from Stevens Institute of Technology expanding my horizons in the world of data analysis. I have become proficient at developing IT strategy, Multivariate analysis, Data warehousing & Business Intelligence, Data Management, Data Analysis & Machine learning, Project management fundamentals and Integrating IS technologies. I believe that now I am able to dive into the story of data and leverage my technical prowess in field of Information Systems and Business Analysis, aligning myself with organisations mission and vision as an excellent Data/Business Analyst. I am currently looking for Full-time opportunities in Data Science Field. Since I was young, I have always enjoyed to solve puzzles. So that's how I look big data sets: to me it is one big puzzle I want to solve. Finding pattern nobody else sees is the challenge to me.

Experience

Business Analyst

Prime Healthcare Services

• Spearheaded the development of a comprehensive project involving the extraction of XML data from a website API. Transformed and curated over 10,000 data records within an SQL database, presenting insightful visualizations through a dynamic Qlik dashboard. The project's data analysis resulted in data-driven recommendations that improved nurse hiring rates by 15%, enabling hospitals to make informed decisions aligned with market standards.
• Engineered and implemented a streamlined Service-Now ticketing system, leveraging workflow-based processes to systematically track and manage email correspondences within the incident system. This innovation reduced response time by 30%, facilitating seamless collaboration between corporate teams and hospitals. The system generated and managed over 500 incident tickets, expediting the fulfillment of new job requirements in the Hallmark system
• Devised a dynamic web tool using Node.js and EJS technologies, featuring intuitive data visualizations and strategic data points. This resource significantly reduced purchase order processing time by 40%, optimizing the Purchase Order process for all stakeholders involved. The tool provided insights into $2M worth of purchase orders monthly.
• Orchestrated a high-performing team to create an automated data cleansing solution utilizing Python, PySpark, SQL, and advanced Machine Learning models. The implementation, executed on a daily basis, improved data accuracy by 95% across requisition data, resulting in enhanced reporting reliability and operational efficiency.
• Led the end-to-end development of a secure, React-based website dedicated to requisition creation. Encompassing an innovative item inventory page and a multi-tiered approval process, the platform reduced requisition approval time by 50%. Upheld stringent backend security protocols aligned with company policies, while seamlessly integrating with Microsoft Azure for a robust, company-wide login mechanism that served 1,000+ users.

Sept 2021 - Present

Software Engineering (AI) Intern

Shoptaki Inc.

• Led a team of 3 junior Python developers in designing and implementing an advanced AI architecture. This architecture empowered the Smart-Chain platform to analyze risk, identify fraud, and perform real-time financial analysis. Leveraged machine learning models to meticulously train and validate data flows between chains, optimizing system performance and accuracy.
• Enhanced biometric security measures by pioneering the training of deep learning neural networks. These networks adeptly detect and classify live and imposter face images, resulting in highly effective liveness detection methods that bolstered biometric security protocols.
• Applied expertise in Python and R Studio to execute preprocessing and in-depth exploratory data analysis on an extensive dataset of approximately 1 million health records. This meticulous analysis unearthed valuable insights and paved the way for data-driven decision-making in the healthcare domain.
• Proficiently utilized a diverse range of technologies including Python, JavaScript, and Django, along with Machine Learning models, HAPI-FHIR, and GQL. These technologies were instrumental in driving innovation, efficiency, and robustness across various projects and platforms.
• Technologies: Python, Django, React Native, HAPI-FHIR, Arango DB , PostgreSQL
• Databases : Arango DB, FHIR data framework, NoSQL database
• Networking Technologies: AWS instance, Oracle Server

June 2020 - Sept 2021

Digital Marketing Intern

Rotaract Club of Ahmedabad Emerald

• Implemented a web application and devised new strategies to attract writers & book enthusiasts interested in joining web platform where user can get connected and publish stories
• Devised new strategies to attract writers & book enthusiasts interested in joining web platform where user can get connected and publish stories
• Analyzed data for the right audience and created data-driven advertisements to be used for digital marketing by companies
• Worked with creative department teams that research and create new marketing and advertising strategies to achieve a growing number of users for the company
• Performed Data Analysis to identify the audience and designed some model that can predict the future data that can help for the financial team.
• Visualization: Designed data visualization and implementing them using tools like Excel, Tableau, Power BI, R studio for finding trends and profits for events and music concerts
• Technologies : Python, Machine Learning, Mongo DB, SQL, Power BI

May 2017 - October 2017

Education

Stevens Institute of Technology

Hoboken, NJ, USA
Master of Science
MAJOR : Applied Artificial Intelligence
Expertise in Data and Software Engineering
Honors : The prestigious merit-based award (Master's Scholarship Award) for year 2019

GPA: 3.59

August 2019 - May 2021

Gujarat Technological University

Ahmedabad, Gujarat, India
Bachelor of Engineering
Computer Engineering

GPA: 8.95 / 10

August 2015 - May 2019

Academic Projects

VEHICLE DETECTION, TRACKING AND COUNTING USING DEEP LEARNING (Python, Machine Learning)

Stevens Institute of Technology

• Multiple object detection is implemented using YOLOv3 for KITTI and COCO dataset. The CNN model trained to on road vehicle dataset for single object detection, achieved a validation accuracy of 95.7% for auto, 95.5% car and 96% for heavy vehicle
• Further training the models on powerful GPUs and by increasing the number of images evaluate the models on other datasets and modify the design

January 2021 - Present

FACE RECOGNITION USING DEEP LEARNING(Python, Retina Net)

Stevens insitute of Technology

• Applied the Retina Net face model for face detection and Xception model for classification into mask and no mask categories for the detected face, Total number of data deployed in model is 16158 from Google Image Search
• The f1 score achieved 0.99 and Loss was 0.0182

August 2020 - January 2021

University Placement Analysis and Prediction (Exploratory Data Analysis, Machine Learning)

Stevens insitute of Technology

• Utilized university's placement dataset to determine patterns by analyzing data of students who were plcaed
• Used statistical method to perform exploratory data analysis to find important factors that affect placement status of student
• Implemented Logistic Regression, Random Forest and Decision tree algorithms to predict whether student will be placed and determined which algorithm gives maximum accuracy

April 2020 - July 2020

REGULATION OF BITCOIN USING ENCRYPTED KEYS (Python)

Stevens Institute of Technology

• Proposed a regulation scheme based on encryption keys via which all the transaction happens and can be traced back to the illegal user. It is by adding regulating nodes to the bitcoin network and monitoring incoming transactions.

January 2020 - May 2020

HOUSE PRICE PREDICTION (R, Python, Machine Learning)

Stevens Institute of Technology

• Predicted future sales prices of house, based on 24 attributes, using method like PCA, multiple linear regression, dimension reduction, and lift chart, resulting in final accuracy of 89%

January 2020 - March 2020

YAHOO MUSIC RECOMMENDATION SYSTEM (R, Data Analysis, Machine Learning)

Stevens Institute of Technology

• Executed a collaborative filtering method, on 120k+ customer ratings structured hierarchically
• Deemed performance of 8 ML models on test data to interpret most accurate model utilizing ROC
• Constructed matrix factorization algorithm and neighborhood method to make prediction system more accurate to get better result. Attained an accuracy of 84.35% with Ensemble Learning and weighted average approach



August 2019 - December 2019

MULTIFUNCTIONAL Head-Up Display (HUD) (Undergraduate)

Gujarat Technological University

• Developed and simulated drowsiness detection system and fog elimination using various Libraries like SciPy and NumPy in Python and MATLAB respectively
• Main functionality of the HUD is to trigger an alarm on drowsy detection of driver and to display a clear image converted from a real hazy image which will help the driver during foggy weather conditions

October 2018 - February 2019

Research and Publication

E-Verification of Driver for Humans and Automobile Safety

Research paper presented in Advances in Computer Technology Event and publishing in journal name “Journal of Emerging Technologies and Innovative Research” having UGC number:”63975”

March 2019


Skills

Programming Languages & Tools
• Machine Learning: Regression, Classification, Deep Learning, Decision Tree, NLP
• Programming Languages: Python(NumPy, Pandas, Scikit-learn, Dash, Plotly), R, SQL, familiar with Java
• Databases : Arango DB, MS Access, MySQL, Oracle Database, Cloud Datastore, familiar with Mongo DB
• Business Intelligence: Tableau, Power BI, R(ggplot2), Python (Matplotlib, Interactive), Excel, Weka
• Tools : Spark, Microsoft VS Code, Anaconda, PyCharm, MS Office
• Certifications:  1. Google Data Analytics certification (Coursera)
         2. CEHE(Certified Ethical Hacking Expert) by Indian Ambassador of Cyber Security
         3. NTAT by National Talent Acquisition Test

Expertise

• I can work with Machine Learning, supervised and supervised algorithms and use data visualization techniques to present results.
• I use Python, R, Tableau and Power BI for my data project.

Interests

Apart from being a Data Scientist, I enjoy most of my time being outdoors.

When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am gamer in night time when I don't have any work, and I spend a large amount of my free time exploring the latest technology advancements in the Data industry.

Awards & Certifications

  • The prestigious merit-based award (Master's Scholarship Award) for fall 2019 iin Stevens Insitute of Technology
  • CEHE(Certified Ethical Hacking Expert) by Indian Ambassador of Cyber Security, NTAT by National Talent Acquisition Test
  • 2 nd Place in Ingenious hackathon 2019 organized by Institute of Engineering and Technology, Ahmedabad
  • State-level Runner Up in Robotic Event Organized by Vishwakarma Government Engineering College, Ahmedabad.
  • 1 st Place in State level Photographic Championship