Our vision is to promote Data Science as a green field opportunity in Pakistan through academia-industry collaboration and contribute to a skill-based economy. We believe new era is cognitive and Data Science is new IT. Obviously realizing such a vision is challenging due to many factors such as:
Although academia owns every new field but it misses to capitalize on the potential due to mismatch and lack of joint ownership by the Government and industry Only having interest in a specific area is not sufficient for enthusiast in any field to take the next steps; This has especially become challenging in today’s information age due to a number of factors such as plethora of technical choices, resources available, complexity and interconnectivity among others. Data Science(DS) is not an exception to this, which results in having the demand to train new resources by the experienced people who could give at least the toolkit to these enthusiasts such that they can start their journey of DS for their daily problem solving.
We aim to :
Our efforts include but are not limited to
We are a team of enthusiastic Data Scientists with diverse backgrounds. On one hand we have demonstrated experience in domestic and international industry, on the other hand we have strong research and academic backgrounds. Our core expertise are in the areas of Machine Learning, Computer Vision, Natural Language Processing, Analytics, Cloud Computing, Blockchain, Internet of Things, and Business Strategy. By founding Data Science Initiative, we are ready to evangelize Data Science and lead its enablement in Pakistan and abroad.
Next to our core Data Science initiative team, our network comprise of energetic, professional data scientists that also not only believe in Data Science potential but also share our values and ideas to promote Data Science with a joint effort. These professionally sound and experienced data scientists constitute our Mentors team which would be taking up the following avenues to promote efforts for our initiative. These avenues include:
Dr. Jamshed is an experienced EMC certified Data Scientist with sound mathematical and programming background. He is proficient in understanding business problems and solving them using data mining and machine learning algorithms. He holds PhD in Computer Science from Rutgers University, NJ, USA. and is skilled in design and analysis of advanced algorithms and mathematical methods. He is adept at grasping and presenting complex concepts in layman’s terms. His pedagogical background brings a unique perspective to his professional endeavours and business challenges.
Dr. Ehsan Ullah Warriach has more than 10 years of experience in Data Science in Europe and Middle East. He is expert in machine learning, particularly in data modelling (diagnostic, descriptive, predictive, prescriptive, and cognitive analytics). He has developed several machine learning algorithms for data quality, and published articles in well-known conferences and journals. He is experienced with the latest Big Data technologies, tools, and languages. Dr. Ehsan developed innovative use cases/Data products across several industries such as Transport, Smart city, Internet of Things, Real estate, Telecom, Digital Health, and Retail. He has working experience with Majid Al Futtaim UAE, DU telecommunication UAE, Roads and Transport Authority UAE, Vodafone, NSN, Siemens, Telefonica, AdvanticSys, AirBus, KAUST – Saudi Arabia, TCMCORE Saudi Arabia, NII-Tokyo, Eneco, Philips, iMinds Belgium, WareValley South Korea, QwickSense, etc. Academically, he has PhD in Computer Science with major in Analytics from University of Groningen, Netherlands. M.Sc in Information Technology in collaboration with the Aalborg University Denmark, Halmstad University Sweden, and University of Applied Sciences Lemgo Germany as a Joint Program.
Prof. Sohail Asghar is a among top computer scientists in Pakistan with experience both in industry and academia. Currently, he is working as Professor of Computer Science at COMSATS University Islamabad. In 2011 he joined as a Director of the University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi. Previously, In 1994, he graduated with honors in Computer Science from the University of Wales, United Kingdom. He then received his PhD from Faculty of Information Technology at Monash University, Melbourne Australia in 2006. Dr. Sohail has taught and researched in Data Mining (including structural Learning, Classification, and Privacy Preservation in Data Ming, Text and Web Mining), Decision Support Systems and Information Technology areas, and he has published extensively (More than 125 publications) in international journals as well as conference proceedings. He has also served as Program Committee member of numerous International Conferences and regularly speaks at international conferences.
I am working in the field of Data Mining and Machine learning since last three years in the capacity of academia and research but I was exposed to real world problems. I am well aware of the importance of Data Science as it certainly is the future so I attended Data Science workshop in PUCIT along with other professionals and academicians from different backgrounds. The journey which started from the basic definitions of Machine Learning and Data mining has ended on hands-on practice in Python. Every module of workshop was perfectly placed and the flow kept everyone interested. The pace was tuned so finely that no one was left behind. The foundation of workshop was laid with introduction of core concepts and then taking us from concepts to real world problems was a perfect combination. Energizers from Dr Chan Naseeb was icing on the cake. The mentoring team is a blend of able academicians like Dr Zubair Nawaz, Dr Kamran and practicing industry professionals like Dr Shahzad Cheema and Dr Chan Naseeb. Undoubtedly, I can say that this workshop has added substantial amount of real world problem understanding and manipulation. This workshop was worth my money and time.
The workshop was a combination of various data science concepts with hands-on exercises related to concepts such as machine learning, visualization, big data framework Spark ,data mining, programming, Deep learning,data engineering, Agile process , introduction of Blockchain and its importance on our society. The Speakers used popular scientific Python libraries such as Numpy, Scipy, Scikit-learn, Pandas ,matplotlib and pyspark throughout all five days of workshop. All speakers were good in communication and expert in their fields. The workshop provided a sound basis on top of which students can build further skills such as deep learning, hadoop, tensorflow in depth. and participate in advanced competitions on Kaggle.
I have been into IT industry for 10 years. Most of the time I am handling large amount of Data and trying to empower Management to make excellent decisions for their business. The data science workshop in this perspective was of high importance. I attended this five day workshop in order to learn how much data science can help me to achieve the following:
This workshop had no doubt trend setting capability and was an answer to my daily challenges. The material was well organised, instructors were well-prepared and the delivery of material was executed in the proper manner so that every participant should get the proper understanding.