Contact Information Web Scraping Automation
Systematic Literature Reviews (SLR)
Objective:Automate extraction of pertinent information from scholarly literature, streamlining systematic literature reviews by efficiently gathering and summarizing details on demand planning methodologies.
- Python for scripting and automation.
- Web scraping: Selenium and BeautifulSoup for extracting data from web pages.
- Natural Language Processing (NLP): Utilizing NLTK for processing and understanding textual content.
- Possible integration of topic modeling libraries for enhanced information extraction.
OCR Tool for Data Extraction from Images and PDFs:
Demand / Sales Forecasting
Objective- Forecast the Demand for food items such as snacks, juices, yogurt, etc. in Nigeria
Role-Responsible to develop machine learning algorithm for forecasting with high accuracy
Steps perform -With a time series and regression,the algorithm achieved an accuracy of 90%. Used combine forecasting
of Holtwinter, SARIMA, ARIMA and regression models in python. To make data multivariate we have
included microeconomic factors from reliable data sources of Nigeria
Skills Required – Python, Time series algorithms, Regression Algorithms
Stock Market Analysis
Objective- To do an analysis of the historical data of NSE listed stocks to select the best stocks and perform prediction to get the future returns
Steps perform - Data Scaping from NSE site, statistical testing on historical data, creating lag, Moving average of 5 ,10 , 25 50 weeks. ROI, Time series decomposition , Forecasting with LSTM model .
Role - Create data pipeline using python and models
Skills- Python , Time series , NSE , stock market fundamentals
Objective- keeping track of what's being said about your product or service on social media, and can help you detect angry customers or negative mentions before they turn into a major crisis
Steps perform - Gather Twitter Data(Twitter API) ,Prepare data ,Sentiment Analysis Model ,Analyze for Sentiment ,Visualize Results
Role -Working on Twitter API and Sentiment Analysis Model
Skills- Twitter API , Python , Sentiment Analysis Model , Power BI
Data Analysis of Production and Process parameter
Objective- To get the impact of manufacturing parameters on the system. Analysis of Production Process Parameters by Using Data Mining Methods
Steps perform - Data collection, Data cleaning, data manipulation, modelling, Reporting
Skills- SQL, Modelling, Python, Power BI
Production shop Dashboarding
Objective- line managers can see how production is going on a given day and whether or not their team is meeting their goals
Steps perform - Requirements Gathering, Ideation and Wireframing, Storyboarding ,Mockups and Design Layout , Customizations , Iterate As Needed, Development
Skills-Data understanding, power BI , KPI
Movie recommendation engine
Objective- Provide a mechanism to assist users in classifying users with similar interests
Steps perform - Matrix Factorization-based Algorithm, Creating Handcrafted Features, modeling
Skills-NLP, Modeling , Python , Power BI
Digital Production system
Objective-System to transform Paper base sheets used in production and process monitoring to digital data
Steps perform -Developing customize Apk for Data entry with process specific forms connected in network
Role-with the help of sensors and Android based devices with customized data entry forms and transmitting data
to server (SQL database). Designed dashboard and reports to monitor the system
Skills-Spread sheets, Form designing, Dashboard designing, Power BI, Tableau, SQL.
IOT -( Data Collection System)
Objective- Transforming manual data entry to automatic data collection
Steps perform -using Analog sensors and PLC connected with the central server and store data in SQL database.
Temperature, humidity, Air pressure and power readings automated.
Role -To check feasibility, conduct POE, Check Data in SQL server, implementation
Skills – SQL, sensors, networking, PLC