I am a thorough and deep thinker, interested in new ideas and like to work on emerging technologies. Data Scientist /Application/software Developer and work as Project Manager in a wide variety of business applications. Particularly interested in artificial intelligence.
• Predictive Analysis of Telecom Billing Data for Decision Optimization.
• Time Series Analysis of raw data.
• Anomaly detection for process optimization.
• Data Warehouse Designing and Implementation from scratch keeping integration compatibility with any BI tool (e.g. Power BI).
• Data Integration, cleansing, transformation and other Data Engineering tasks via Talend Open Studio.
• Implementation and Automation of ML Use Cases.
• Data Analysis using different tools and languages i.e. Excel, Power BI, Python.
• KNIME for DS end to end workflow.
Worked on Vegetation health monitoring via remote sensing using
Deep Neural Networks
Worked on portability of Urdu Text to Speech models generated by
MARY Text-to-Speech System (MaryTTS) in Android.
Work closely with various teams across the company to identify and
solve business challenges.
Analyze large datasets to provide strategic direction to the com-
pany.
Perform quantitative analysis of product sales trends to recommend
pricing decisions.
1 year experience of Android Application Development.
1 year experience of Web Development using Code-igniter (MVC)
Coded, tested, debugged, implemented and documented Apps us-
ing Java.
Developed e-Commerce solutions and social networking function-
ality including but not limited to POS, CRM and HRM.
• Participant in Speed Programming Competition in NeScon 2015 organized by FAST University, Islamabad.
• Attend Work shop on data warehousing by organized by COMSATS IIT, Wah
• Participant in Speed Programming Competition in TECTIQS 2015 organized by IQRA University, Islamabad
• Participant in Quiz Competition in COMBITS 2015 organized by COMSATS IIT, Attock
• Participant in Programming Competition in COMBITS 2015 organized by COMSATS IIT, Attock
• Participant in Code Debugging Competition in COMBITS 2015 organized by COMSATS IIT, Attock
• Participant in Programming Competition in TechSalvo 2015 organized by UET, Taxila
• Participant in Programming Competition in ITECH 2014 organized by NED, Karachi
• Participant in Programming Competition in Olympiad 2016 organized by HITECH University Taxila.
Vegetation health depends on various indicators including but not limited to Chlorophyll Index, Leaf Area Index, Bio Mass, Greenness Index and height of Plants which can be measured using remote sensing techniques in order to increase accuracy along with reducing time and human efforts. Our aim in this study is to classify crops and explore health indicators including height of crops using images captured by unmanned air vehicle (UAV). Images captured using UAV at different angles can be used to create point cloud by Visual SFM, later the output of Visual SFM can be processed using Meshlab for further analysis and height estimation. Temporal images of same crop can lead to
further analysis and findings in order to get a better view of relationship between crop’s height and health at different levels of growth where we can introduce more indicators if required. Aforementioned indicators can increase control over
vegetation health which can lead to increase in yield of crops and forest cover.
Find customer behavior and other business specific analysis using transactional data.
Normally patient’s status checking by a care taker and in case of serious condition, caretakers call to doctors
for taking actions accordingly. Till yet the system is automated using different sensors but those sensors are
less in numbers and not user friendly as well as have too few functionalities.
Proposed solution is to implement a health remote monitory system using bio/body sensors in which user will
be enable to monitor the patient’s status continuously and send the analyzed data to a main storage/server.
All caretakers and doctor will receive the analyzed data statistics summery on their cell phones and will act
accordingly. The proposed system will cover and monitor maximum critical positions using sensors. Using
proposed system, every patient will have a unique id for the identification as doctor will have to treat more
than one patient. In case of critical situation of patient, an alarm will be generated for both caretaker (kin)
and doctor. On the other hand this system will also save the data of different patients that can be useful for
research purpose as well as better understanding to individual’s health monitoring. Using heuristics and
different artificial algorithm, the system will suggest temporary meditation.
Objectives of the project
Main objectives of the proposed systems include:
• Monitor patient’s status using different sensors
• To Detect critical position of patient
• Heuristics
• Monitor Kids healthcare
• Maximum Availability
• Instance response
• Monitoring of multiple patients at same time for doctors
• Services for health center i.e. data for research
• Suggestions from doctors by analyzing patients data
Technology Used
• Python
• Server Side Language PHP
• Client side HTML/ CSS / Java script
• Android
Hardware Used
• Sensors
o Temperature
o Fall Detection
Page3
o Position
o ECG, EMG
o Breathing
o Oxygen, Blood Pressure
o Heart Rate
• Kits
o Piboard
o Wifi shield
o GPS
o NFC
Purpose was to develop an Intelligent system to control (Manually and Automatically based on sensor's data ) and monitor home appliances including activities that can be accessible locally as well as globally.
Hardware Used:
->Raspberry Pi (3 b)
->Relays
->Temperature sensor
->Motion Sensor
->Smoke Sensor
->Camera (For live streaming)
->A smart Device
Technology Used:
->Android
->Python
->Php
->HTML
->CSS
->JavaScript
Design and develop ERP system which include financial accounting system, stock management, sale/ purchase management, HRM and customer relation management for managing businesses.
This website is use to Register teams online, Show news and use to contact with visors using PHP
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Won a Data Science Competition held on Kaggle, Organized by FAST-NU where our goal was to predict Heart Diseases using Machine Learning.
Merit Based Scholarship awarded for Master of Science in Computer Science (NUST-SEECS) by PEEF.
Got best Business Idea Award by COMSATS Institute of Information Technology BizBuzz Competition Fall 2016
Got 3rd Position in National Inter Universities Programming Competition held at CUST Islamabad Excite Cup 2016
Got 1st Position in Project Exhibition of International Conference on Frontiers of Information Technology (FIT'16)
Won 1st Position in National Speed Programming Competition organized by HITEC University Taxila
• Got 1st Position in National Speed Programming competition held at CIIT Attock COMBITS 2015
• Got 1st Position in National Code Debugging competition held at CIIT Attock COMBITS 2015
Got 1st Position in National Inter Universities Speed Programming competition held at CIIT Wah VISIO
SPARK 2015