Estimated studying time: 10 minutes
Within the newest instalment of our weblog collection we interview Ecaterina Vidrascu to search out out extra about how she acquired into Information Science, what introduced her to Aberdeen, the issues that you simply would possibly discover her doing exterior of labor and what recommendation she has for folks occupied with studying extra about Information Science.
We’re very fortunate to have Ecaterina on the crew serving to to create our very first voice person interface for Amazon Alexa sensible audio system. As you’ll see from the dialogue beneath, she’s a massively gifted knowledge scientist, with a inventive aspect and a splendidly open angle to studying and life.
We stay in an ageing society. However what does that basically imply?
Within the subsequent 20 years the steadiness of younger and outdated will shift to the purpose the place there shall be one aged particular person for each two folks of working age. The problem this presents is two-fold, a discount in members of the family in a position to present assist and a smaller pool {of professional} carers.
TL Tech is a Sensible Properties Options supplier with a distinction. We assist folks get one of the best out of sensible residence applied sciences and create distinctive residence environments to fulfill their wants and price range. Our imaginative and prescient is to “create a house that cares for you as you age”.
Sensible residence applied sciences have the facility to rework lives, particularly for the weak in our society. This weblog collection shall be seeking to showcase the alternatives, discover out extra in regards to the folks working on this area and the way we are able to create a world the place “sensible meets sort ®”.
How did you get into Information Science?
This was not fairly a simple determination I made; I’d say it took just a few occasions to occur for me to get into Information Science.
I at all times favored numbers and maths, after which in highschool I used to be fairly good at programming and economics. Upon ending college, I used to be profitable in securing a examine grant on the Stockholm Faculty of Economics in Riga. I additionally safe financed locations on the main universities in Moldova in programming and economics. That’s once I took the troublesome determination to maneuver overseas to Latvia and accomplished my research there in Economics and Finance. My plan again then was to possibly return to laptop science, and so I did once I took up my first job as a Assist Analyst the place I spent two years.
One other factor that made me take up Information Science are the programs that I favored probably the most in my undergraduate diploma: statistics and econometrics. Once I moved to Scotland a bit over a 12 months in the past, I used to be decided to tackle a brand new problem (like transferring to a different nation was not sufficient!) and pursue a grasp’s diploma. After fastidiously analysing my choices I opted for an internet MSc in Laptop Science with Information Analytics to do half time along with taking up a brand new job as a Information Analyst at an power consultancy firm.
Sadly (or higher mentioned now fortuitously), my expectations for the diploma weren’t fairly met, in order that’s once I took the onerous and courageous determination to drop out from that course and enrolled in a full-time MSc in Information Science at Robert Gordon College. And truthfully, this was one of the best determination I made.

The DataLab supplied me a terrific alternative to finish my postgraduate research in Aberdeen by providing a beneficiant scholarship which lined my tuition price. I met a number of nice folks and studied loads as I pushed my boundaries to develop and be taught extra. My favorite modules had been Information Mining – the place I realized a lot about Machine Studying in R, Information Warehousing – the place I construct a database myself and used SQL, and Superior Information Science – the course the place my studying curve was very steep as I constructed a mission on picture Evaluation in Python.
What do you love to do exterior of labor?
There are fairly just a few issues I like doing exterior of labor. One in every of them is mountain climbing and exploring Scotland. I like visiting new locations throughout weekends with my boyfriend and taking a break from the town whereas being nearer to the character. The Scottish landscapes are spectacular and so totally different: lochs, mountains, seashores, forests, and sea. Over the last 12 months now we have managed to see so many locations: Glasgow, Edinburgh, Aberdeen, Inverness, Ullapool, Stonehaven, Crail, Montrose, Banchory, Aviemore.
Other than these we noticed so many picturesque locations, some that even the locals might need not visited but: Bow Fiddle Rock, Dunnottar Fort, Slains Fort, Scotland’s Secret Bunker, Peterhead Jail, Edinburgh Fort, Loch Muick, Balmoral Pyramid, Loch Ness, St Cyrus Waterfall, Balmedie Seaside, Arbroath Cliffs. Each time once I discover a new place, I add it to our to-visit record and with each mountain climbing journey I recognize extra a extra the great thing about Scotland.

Other than Scotland I’ve had the possibility to journey and do some mountain climbing in Spain (Montserrat, Sant Jeroni – 1236m), Armenia (Teghenis – 2851m, Tsaghkadzor) and my residence nation Moldova.
One other passion that I picked up round a 12 months in the past is nail artwork – I began to be taught alone the best way to do skilled high quality nails at residence. Presently my nail assortment contains over 70 gel polish bottles, nail artwork decals, gem stones, and numerous decorations. Over time I made a decision to document some ideas and tips and I at the moment handle a small weblog below the title Naïve Nails (@naive__nails) on Instagram. Funnily sufficient, whereas in search of an unique title for my weblog, I remembered in regards to the Naïve Bayes algorithm from my MSc course, and that’s the place I acquired the title inspiration.
Other than that, I like pictures and digital artwork – all that considerations modifying footage, creating filters, and drawing digitally. Nonetheless, there are solely 24 hours in a day, so there’s not at all times time to develop on lots of my pursuits.
For those who might go on vacation anyplace proper now, the place would it not be any why?
Residing overseas for nearly six years in three totally different international locations my reply is fairly apparent. I’d actually like to go residence to Moldova and go to my dad and mom. Most likely that’s the place I’d be now if not for the present world scenario, the place of heat and sunny days, tasty meals, do-it-yourself wine.
Other than that, I want to go to Portugal, it has been on my record for fairly a while. To see the ocean, to wander on the nice and cozy streets and admire the structure. One more reason is in fact their language, I like Portuguese despite the fact that I barely converse any phrases.
Are you a espresso or a tea particular person?
That could be a troublesome determination to make for me, so I’ll say each. Once I began my MSc research at Robert Gordon College, early morning espresso from Costa with a view quickly turned a morning ritual. It was one thing I used to be wanting ahead to on a regular basis with my pal when arriving early to the lectures.

My favorite tea is sea buckthorn tea with do-it-yourself honey from my dad and mom, wanting now ahead to once I can return residence and luxuriate in it.
How lengthy have you ever been running a blog for? What do you want to write down about?
I began running a blog on LinkedIn once I began my MSc research at RGU pondering that I’ll share with my connections a few of the issues I realized and be taught issues exterior the college program. I noticed a group of individuals sharing their information below the hashtag #100daysofcode and I needed to be part of this group. The distinction was that I needed my posts to be extra particular to my area, and that’s how I began posting my journey below the hashtag #100DaysOfDataScience (which because it turned out took me roughly round a 12 months quickly).

Little did I do know again then that this was really an enormous dedication, and I underestimated the effort and time that go into posting common high quality Information Science content material, particularly when mixed with a full-time MSc and a part-time job.
I took some breaks from posting now and again whereas learning from my exams. With time increasingly more folks requested my recommendation about programs to take, what to check and the place to search for studying assets. I’m at all times completely satisfied to share and provides recommendation once I know one thing. I didn’t anticipate a lot engagement to my posts once I was coming early at 07:30AM to school to write down a LinkedIn put up earlier than the lectures began again once I began.
Do you have got a favorite writer, blogger or podcast?
One of many blogs I learn fairly often and be taught a number of nice new issues is In the direction of Information Science from Medium. I really consider it’s a good place to search out fascinating issues, ideas, and mission concepts to assist your Information Science journey.
My favorite Information Science podcast is DataFramed by DataCamp by Hugo Bowne-Anderson. The podcast has many alternative visitors and so they cowl matters starting from getting the primary job in Information Science to Conversational AI and Chatbots. One other podcast that I picked up not too long ago is VUX World which is all about conversational AI and voice assistants.
What recommendation would you give to folks desirous to get began in Information Science?
Information Science is a really giant area, there are such a lot of potentialities and so many roles that every one sit below Information Science. I’d advocate to first have a common understanding on every of the doable paths (Enterprise Intelligence Analyst, Information Analyst, Database Architect, Information Scientist, Information Engineer and so forth) and check out to decide on and focus in your particular area of interest.
One other factor that’s essential is to grasp that Information Science isn’t just Python and R, and real-world knowledge is just not clear, and most likely not constant or saved appropriately. What I imply by that is to grasp that the objective shouldn’t be use a particular algorithm, technique, or software program, however fairly fixing the given drawback in probably the most environment friendly method.
And lastly, I want to say that crucial pondering is one probably the most precious abilities for a Information Scientist. To place this in context, I used to be working with my crew on a mission that included GDP figures for various international locations around the globe. We virtually had the mission finished once I observed that a few of the GDP figures had been very low, virtually near zero. After rechecking the dataset and the exploratory knowledge evaluation we came upon that there have been some spurious knowledge and we needed to substitute the GDP values with one other supply. This proves that issues have to be analysed in context, and as a Information Scientist it is best to at all times perceive what you might be engaged on and what the information is about.

It has been nice discovering out extra about Ecaterina and the issues that make her distinctive. For us it has been a terrific expertise to welcome a scholar to the crew. Particularly somebody with an actual depth of expertise and such a proactive method to drawback fixing and taking up new duties. We’re wanting ahead to having Ecaterina share some additional updates with you as we progress the work on the Alexa voice ability. You probably have any questions for Ecaterina about this or her Information Science research, she would love to speak to you on her LinkedIn weblog.


