I’m Arvind Jaiswal

I am a highly motivated Int B.Tech+M.Tech (Artificial Intelligence and Robotics)

postgraduate with specialization in Data Science, looking to start a career in Data Science and Data analytics. Offering a comprehensive knowledge of data wrangling, Data interpretation, and storytelling via data visualization. Also growing further with Artificial Intelligence and Machine Learning. Tech enthusiast, with experience in Teamwork and Leadership. less competitive, more collaborative. Currently looking for a suitable graduate position/ Entry level role with opportunities to utilize and grow my technical abilities. admt65@r.postjobfree.com

+91-782*******

https://github.com/jais115

https://www.linkedin.com/in/arvind-jaiswal-2686a9142/ Skills

Data wrangling: Numpy and Pandas

Statistics and Probability

Machine Learning: ML Lib

Deep Learning: Tensor flow and Keras, NLP

Image Processing: Open cv

Data Visualisation: Excel, Tableau, Power BI, Matplotlib, Ploty, Seaborn, ggplot, R

Demonstrated Experience in Programming

Python, R, SAS, MongoDB, SQL, HTML, CSS, Javascript, C Programming

Version Control: Github and Advanced skills in Microsoft Office Experience

April 2021 - PRESENT

IndiaFirst Robotics, Pune - Technical Associates

Technical expertise software like Inmoov(AI & Robotic), development, testing, production support, technical support, Data Warehouse, SQL, problem-solving skills, the ability to multitask, customer focus, attention to details, telephone etiquette, knowledge of relevant software application or equipment, and effective listening skills.

INTERNSHIP

1) Business Analytics and Data Science Project Intern at The Sparks Foundation Network

Write codes to collect, crunch and analyze data from internal and external sources

To Develop a model for predicting The pattern of data

Build machine and tune learning models using R, Python, and or any language/tool

Using BI tools such as Tableau, PowerBI to analyze data, find important patterns, and design visualization dashboards

Build a strong professional profile, present given tasks and submissions; and improve skills through various activities as part of the internship. 2

2) Computer Vision Project Intern at The Sparks Foundation Network Image and video annotation, Object detection and recognition, Social Distancing detector, Detection of face mask, Fault detection system, Semantic segmentation, Annotation tools include Bounding boxes, Polygon, Keypoint.

3) Linux Engineer at LinuxWorld Informatics Pvt Ltd. Jaipur RedHat Linux Python - Core Level, Advance, Artificial Intelligence and Robotics, Machine Learning, Data Science.

4) Three Month Internship at Airports Authority of India IGI Airport NewDelhi,India. Training On RADAR(L-band), HF, A-SMGCS and AMSS

Education

June 2015 - July- 2020

Gautam Buddha University, Greater Noida - Int B.tech+M.tech (Artificial Intelligence & Robotics) With 6.77 CGPA

Kalidas Montessori School (Pre-Engineering) -Ujjain M.P. with 76.40% PROJECTS

1) Customer Market Segmentation Using Unsupervised Machine Learning https://github.com/jais115/Customer-Market-Segmentation The Project Completed in The Following Steps

Step:- 1, First of all, we Understand the problem Statements. Step:- 2 Import the Following library like Matplotlib, Numpy, Pandas, Seaborn, and sklearns library and Datasets as well as Cleaning the Data, Seen Inside of Data, Drop some column, Replace the blank Value (NA ) From the Dataset.

Step:- 3 Visualization of data == How the Datasets Look Like with the help of Seaborn and Matplot, perform Standard Scaling on the dataset, Correlation of dataset, or find any Missing Dataset. Step:-4 Elbow method works: How to select the Optimal number of Clustered. Step:- 5 Apply the KMeans method to our dataset for Standard and scaled dataset and then Predicted labels

2) Customer churn at a fictitious wireless telecom company https://github.com/jais115/Customer_churns

To Develop a model for predicting customer churn at a fictitious wireless telecom company Data cleaning including missing values, outliers and multicollinearity. Predictive churn model Understanding data and manipulation Data visualization Implementing Machine Learning models(It should be more than 1 algorithm) Model Evaluation with the best of the Model.

MAJOR PROJECTS

“build a real estate price prediction using sklearn and linear regression” and dataset from kaggle.com.

https://github.com/jais115/-Predicting-Home-Prices-in-Ba nglore 3

The Project Completed in The Following Steps

Step:- 1, First of all, we Understand the problem Statements. Step:- 2 Import the Following library like Matplotlib, Numpy, Pandas sklearn model. Drop features that are not required to build our model Datasets as well as Cleaning the Data, Seen Inside of Data, Drop some columns, Dimensionality Reduction Replace the blank Value (NA ) From the Dataset. Outlier Removal Using Business Logic and Add new feature called price per square feet Step:- 3 Visualization of data == How the Datasets Look Like with the help of Matplot. Step:-4 Build a Model Now.

Step:- 5 Apply the sklearn mode.

ACTIVITIES

Yoga and meditation

Watching movie and listing song

Visiting new places

ADDITIONAL INFORMATION

Participate in Entrepreneurship Awareness Camp at ABES EC in the year 2017.

Participates in a one-week workshop on arduino, computer networking, operating system in ICT Completed life skills training conducted by GTT and NASSCOM Foundation at Gbu.

Member IIEC (India Innovation Entrepreneurship Community).

Playing Cricket All India University (AIU) North Zone India.

Sport Coordinator of University.

CERTIFICATIONS / AWARDS

Rank 1566 in Xoriant CodeCrackers - Top Talent Hunt Contest https://drive.google.com/file/d/17n6foUjuHb68Haw7e V8AALSEux0GNW0I/view?usp=sharing

Artificial intelligence technology by Accenture

https://www.futurelearn.com/certificates/gayn96j

Python 3.4.3 (IIT Bombay)

https://drive.google.com/file/d/1oWnp73tESVt6QZLmb p7ZEg0ALU7jCRw8/view?usp=sharing

Machine Learning A-Z Hands on Python and R in Data Science by Udemy Link-- http://ude.my/UC-999VP458

Data Science by IIT Guwahati http://caciitg.in/sa/verify/5f0af5b177854d0b0f9fad2c

EXL Services Certified Associate in Data analytics by (EduBridgeIndia) https://drive.google.com/file/d/1fuKU_Jre5a-tzaB1TprS PIEHqvbTNNnI/view?usp=sharing INTERESTS

● Collection of Data

● Problem solving

● Gym and Athletic

LANGUAGES

1. Hindi

2. English

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