PROFILE

EDUCATION

12th Grade

CAREER

D a t a E n g i n e e r

Mar 2020 - Aug 2020

Terra Economics & Analytics Lab (TEAL) l Bangalore

Data Engineer Intern

As an intern, I gained an in-depth understanding of real-time workflows and

industry standards, while exploring new tools on a daily basis. This gave me a

head start on my career and led to a promotion to a full-time role, where I

became a key member of the team. I leveraged my skills to help develop a

new product, building one of its core components from scratch. I'm excited to

bring my persistence, diligence, and innovation to my next role.

Aug 2020 - Dec 2022

Data Engineer

Ingesting data in substantial quantities from diverse sources into back-end

databases through scalable scripts.

Cleaning impure data derived into a company-wide set standards to

transform scrambled data into categorized and meaningful information

Developing various utilities internally to solve complex problems in

scripting, influencing re-usability of the code for recurring problems

Working with cloud computing platforms like GCP and AWS on services

like EC2, S3 & RDS etc.

Systematically maintaining GitHub issues during script refactoring for

tracking updates and maintaining transparency

Writing clean & understandable documentation

Experience Overview

SKILLS

Core

Essentials

International Indian School

Jubail, Saudi Arabia

2015

Bachelors of Computer Application

MS Ramaiah College

Bangalore, India

2016-2019

Notable Personal Acievements

Responsibly managed data collection and curation for 7 million+ rows

and various schemas that powered the property valuation determination

model

Took initiative in building and configuring a company-wide documentation

platform and migrating internal docs into a wiki-based service using wiki.js

Used Google Cloud Maps API to design sophisticated infrastructure for

on-demand property geocoding based on search queries. Verifying the

correctness of said queries using the Levenshtein distance algorithm.

Helped create a nationwide data coverage info metric using QGIS for

geospatial analysis

Took initiative to devise a cost-cutting, resource-saving solution for

interruptions on EC2 Instances. Developed an automated tool using SNS,

CloudWatch, Lambda & Webhooks that monitors and pushes critical

alerts & reports on our Slack channel.

Notable Personal Acievements

Cron

Debugging

Documentation

OOP

Testing

.ipynb

SQL

RabbitMQ

Git

Tmux

Python

Linux

AWS

Google Cloud APIs

Selenium

YAML

XML

Docker Logging

Migration Queues

CLI

SSH

QGIS

Wiki.js Postgres SQLite

Metabase Solr

OCR

Wordpress

As a Data Engineer with a passion for building end-to-end data pipelines, I

have been instrumental in powering a range of frontend, analytics, and

market intelligence products. Over the past 3 years, I have been part of an

exciting journey with a real estate-based early-stage startup, contributing my

skills and creativity to achieve numerous significant milestones. From

inception to execution, we have consistently solved complex problems, and I

am excited to share my experience and expertise with you.

ETL

Asif Farhan Khan

Pandas

asiffarhankhan@outlook.com

linkedin.com/in/asiffarhankhan

github.com/asiffarhankhan

Jamshedpur, India

831012

COURSES

ACTIVITIES

EXPLORATORY PROJECTS

University of Helsinki

Elements of AI

Data Analytics Using R

Flex Analytics

3D Game Designing with Unity

RoboKart IIT

State level conference

Research on Cryptocurrencies

Toastmasters Club

Public Speaking

Casual Blogging

Wordpress

Deep Learning

Binary Image Classification

Worked on a binary image classifier designed using Keras/Tensorflow to

predict the class label of a given sample image. The task required core

understanding of a Convolutional Neural Network and various

mathematical functions that are involved in the actual working of any Deep

Learning model. Throughout the project, I had picked up on various ML

techniques such as:

Data Collection, The task was automated using the request library,

making the whole process very efficient

Data Augmentation, the classifier was built on a very little data, this was

overcome by applying Augmentations on each of them to increase the

dataset exponentially

Data Preprocessing, involved some alterations to the image such as

converting files to arrays that would make the whole training process faster

Designing/Training/Testing the classifier, The classifier was designed

using sequential model in keras yielding 92% accuracy.

Machine Learning

Sentiment Ananlysis

Combined Machine Learning and NLP to train a classifier and to analyze

the sentiment of the headline with Naive Bayes Classifier. The Program

would take in the URL of a news article and output if the sentiment of that

article headline is either Positive or Negative.

Worked on some Web Scraping using BeautifulSoup3, Newspaper and

others such as urllib, textblob for various functionalities

Made use of Github features and have gained ample amount of

experience with forking, pushing, commiting, and making pull requests

using command line

Started this project as a Fake News Detector working with 15 people

from around the world.

Automation/API

Tweepy

Worked with Tweepy library on python to write a script that utilises the

twitter API to browse through all the tweets of a specific user's Twitter

account and to delete all the retweets that is encountered along the way.

Gaining some exposure on working with APIs and making API calls

Learned configuring setup.py for easy installation of dependencies and

packages.

Automation/API

Web Scraping

This script aims to scrape the data from the online article publishing platform

medium.com. It was specifically meant for learning the basics of web

scraping and is aimed to scrape the article text from a given URL of a paid

article and reproduces the same article on a new browser tab, making it

readable without having to pay for a subscription

Required basic knowledge of writing HTML

Worked with libraries such as OS, newspaper, textile, webbrowser,

urllib and request.