Hi I am Falak, Python Engineer
At LBB and WLR
A Self-driven & highly motivated Coder
About Me
Enthusiastic Data Science graduate with hands-on experience in the diverse fields of Data Science and Artificial Intelligence(AI). Passionate about solving real-life problems by developing contemporary and integrating fundamental Machine Learning (ML) and Deep Learning algorithms into the systems.
Operated in teams throughout the career with a major contribution towards the leadership and accomplishment of the objectives.
Currently, at Link Building Blogs (LBB) and White Label Resell (WLR), working on multiple fascinating projects in relation to bridge the gap between Content Marketing, Search Engine Optimization (SEO), and Artificial Intelligence using Machine Learning and Open Source Models.
Work Experience
Major roles served across different domains of Data Science.
Link Building Blogs
Integrating AI & ML in blogging services. Collaborating with team to develop systems that bridges the gap between Content Marketing, SEO & AI.
Vidhyut Steel Industries
Developed a Dashboard through MS-Excel and Advance Excel functions for various data generated across the industry.
White Label Resell
Including various developments through AI & Automation using NLP to provide a convenient way for businesses to build websites.
Vartulz Technologies
Built an "Real-time E-KYC system" that captures a user’s ID and verifies it with the pre-declared data in real-time.
Technical Skill Set
The right skills in the arsenal with right tools wields the best results.
Python
3 Years
Worked on multiple projects across different domains of Data Science using Python.
R Programming
1 Year
Actively implementing the language for Statistical Computation & Analysis.
C++
1 Year
Pursed as the base to grasp the core knowledge of Data Structures and Algorithms.
Machine Learning
2 Years
In-depth knowledge and experience in Linear and Logistic regression, Tree algorithms, and Support Vector Machine (SVM).
Natural Language Processing
1 Year
Actively implementing NLTK library and NLP-ML Models in projects as well as researches.
Computer Vision
1 Year
Effectuated the OpenCV library in major projects like Drowsiness Detection & Emotional, Age and Gender Classification.
Data Analysis
2 Year
Substantial command over techniques of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).
Statistical Analysis
1 Year
Research experience of statistical models such as Auto Regressive integrated Moving Average (ARIMA).
Database Management
1 Year
Practical knowledge of different techniques of Data manipulation and control through MySQL.
Jupyter Notebook
1 Year
Widely used this IDE for Python and R, for sequential and distributive execution across various domains of Data Science.
Microsoft Excel
2 Years
Actively used for Data and Statistical Analysis with comprehensive experience in Advance Excel functions and PowerQuery.
Tableau
2 Years
Hands-on experience with a major role in Data cleaning, manipulation, and visualization for interactive dashboards and reporting.
Research Publications
There are multiple researches published in International Journals as Research Articles as well as Research Chapters.
IoT-Tangle Enhanced Security Systems
Routledge: Taylor and Francis Group
Abstract:
Chapter 4 of “Advancing Computational Intelligence Techniques for Security Systems Design” discusses Security systems as the systems or software developed with the sole purpose of security or securing a particular component. The Chapter involves in-depth knowledge about the origin of the new world technologies like the IoT, cryptography, and blockchain. The research is directed towards the IoT system involving the support of Tangle that can easily strengthen the system with its powerful hash functions and consensus mechanism.
Text Mining Using Twitter Data
IGI Global: eEditorial Discovery®
Abstract:
Chapter 2 of the book titled “Deep Natural Language Processing and AI Applications for Industry 5.0” is dedicated to the microblogging social networking service Twitter that has been abuzz around the globe in the last decade. The research was carried out on 13 lakh tweets approximately, collected over the course of a month from September to October providing insights about the different attributes of general tweets available on Twitter API for analysis.
COVID-19 Forecasting: A Statistical Approach
Bangladesh Journal of Medical Science
Abstract:
This article in journal’s “Vol 20: ‘Special issue on Covid 19’ 2021“, initializes an approach for comparatively accurate values prediction of new cases and deaths for a particular day in order to be considered for preventive measures. The three statistical analysis methods considered for forecasting are Fbprophet, Moving average, and the Autoregressive Integrated Moving Average algorithm.
Discrete Projects
The projects initiated and concluded on regular intervals to gain as well as enhance skills and technology.
Share Price Forecasting
Feb 2021 – May 2021
Overview:
- Training Tensorflow using LSTM.
- Predicted share prices for consecutive days using the trained model.
- Applied a Buy/Sell Indicator on the forecast to assist the trading using NN Model.
E-KYC System
Feb 2021 – June 2021
Overview:
- The system captures the user’s ID & verifies it with the pre-declared data in real-time.
- Actively used OpenCV to capture IDs.
- Captured ID is then passed to Google Vision API to extract and verify the details provided by the user.
Tweet Investigator
Sep 2020 – Nov 2020
Overview:
- The initial extracted data consisted of over 13 lakh data entries.
- Actively used libraries Twitter API & Tweepy for extraction of data.
- Spacy, NLTK, Textblob libraries were used for analysis of textual behavior of the users e.g. sentiment.
Statistical Forecaster
Sep 2020 – Sep 2020
Overview:
- It is a Time Series Data Analysis.
- Fbprophet & ARIMA are the statistical algorithms considered for forecasting and analysis.
- Further, utilized the analyzer to forecast values for the first wave of the COVID-19 pandemic.
Performance Predictor
Jul 2020 – Aug 2020
Overview:
- The project aims at analyzing player’s previous performance data for future references.
- Used AHP(Analytic Hierarchy Process) to classify attributes.
- Actively used Microsoft Excel and Power-Query to convert the performance attributes into player performance parameters.
Drowsiness Detector
May 2020 – June 2020
Overview:
- OpenCV library of Computer Vision is used for real-time detection of the face of a person in the camera.
- Further, the coordinates of the eyes and mouth are detected and inspected to the value of coordinates provided.
- If the certain value is lower than the particular value, drowsiness is detected.
Voice-emailing system
June 2020 – July 2020
Overview:
- Natural Language Processing implementation to recognize and interpret the voice input.
- speechrecognition, pyaudio, BeautifulSoup and gtts are the major libraries used to bind the system together and parse the input to the email system, online.
Age-Gender-Emotion Detection
Dec 2018 – Jan 2019
Overview:
- Acronymed as AGE-D, a Real-Time Detection System.
- Worked on Computer Vision-built design for Real-time CNNs.
- Used Darknet model to train the dataset for Face Detection.